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Nanik Suciati - IEEE Xplore Author Profile

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Author details

Nanik Suciati

Publications

76

Citations

383

Publications by Year

20082025

Co-Authors:

Khaled A. AbuhaselFariz Ardin AdhiyaksaFariz Ardin AdhiyasaSigit AdinugrohoR. Dimas Adityo

Show All Co-Authors (105)

Nanik Suciati

Affiliation

Department of Informatics Engineering

Institut Teknologi Sepuluh Nopember

Surabaya, Indonesia

Publication Topics

Convolutional Neural Network,
Deep Learning,
Bounding Box,
Object Detection,
Attention Mechanism,
Feature Maps,
Histogram Equalization,
Image Captioning,
Image Enhancement,
Long Short-term Memory,
Training Data,
You Only Look Once

Biography

Nanik Suciati (Member, IEEE) received the master’s degree in computer science from the University of Indonesia, in 1998, and the Dr.Eng. degree in information engineering from the University of Hiroshima, in 2010. She is currently an Associate Professor with the Department of Informatics, Institut Teknologi Sepuluh Nopember. She has published more than 50 journal articles and conference papers on computer science. Her research interests include computer vision, computer graphics, and artificial intelligence.(Based on document published on 21 September 2022).

Publications

76

Citations

383

Publications by Year

20082025

Co-Authors:

Khaled A. Abuhasel
Fariz Ardin Adhiyaksa
Fariz Ardin Adhiyasa
Sigit Adinugroho
R. Dimas Adityo

Show All Co-Authors (105)

Author's Published Works

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Showing 1-25 of 70 results

Conferences (51)

Journals (19)

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Single Year
Shuang Wang(68)
Yu Chen(49)
Yonghong Cheng(28)
Yong Zhao(15)
Shuhong Wang(15)
State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, China(13)
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China(12)
School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China(7)
Xi'an Thermal Power Research Institute Co. Ltd, Xi'an, People's Republic of China(4)
State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China(4)
2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(9)
IEEE Transactions on Instrumentation and Measurement(8)
2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(7)
2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(7)
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(6)
IEEE(70)
Xi'an, China(14)
Harbin, China(9)
Huangshan, China(7)
Nanjing, China(4)
Sydney, NSW, Australia(3)
Magnetic Flux(21)
Short-circuit Fault(18)
Short-circuit(15)
Magnetic Field(14)
Electric Field Strength(13)

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A High-Efficiency Photon Collection Module for Vacuum Ultraviolet Monochromators

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

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The accurate measurement of both the photoelectron emission yield spectrum (PEYS) and energy spectrum (ES) relies significantly on the energy intensity of ultraviolet monochromatic light. The signal-to-noise ratio of the test results is greatly influenced by the efficiency of the monochromator, which is crucial in constraining the energy of the ultraviolet monochromatic light. Consequently, the de...Show More

A High-Efficiency Photon Collection Module for Vacuum Ultraviolet Monochromators

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

Numerical Simulation on Propagation Characteristic of Partial Discharge Ultrasonic Wave in 35 kV Submarine Cable

Zihan Gao;Yu Chen;Xusheng Wang;Qian Su;Shuang Wang;Bo Tong;Chen Gao;Tuanjie Wang;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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The safety of submarine cable is very important to the power grid. The partial discharge of submarine cable will cause overheating, explosion, electromagnetic interference, power failure and other safety accidents, so it is necessary to detect the partial discharge of submarine cable. When partial discharge occurs, ultrasonic signals are often generated, which can be used for insulation state eval...Show More

Numerical Simulation on Propagation Characteristic of Partial Discharge Ultrasonic Wave in 35 kV Submarine Cable

Zihan Gao;Yu Chen;Xusheng Wang;Qian Su;Shuang Wang;Bo Tong;Chen Gao;Tuanjie Wang;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Picoampere Level Current Detection for Ultraviolet Photoelectron Spectroscopy Instrument

Linhuan Wei;Long Chen;Bohao Tong;Yali Guo;Xiaohan Hou;Yining Wang;Jie Bai;Shuang Wang;Yu Chen

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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In today's scientific research and industrial applications, the microstructure, chemical composition, and physical properties of materials are very important. In order to acquire this information accurately, the key is to detect the low photoelectron current sensitively. In view of this, the ultra-low noise operational amplifier ADA4530-1 produced by ADI is used in this paper, which has a shallow ...Show More

Picoampere Level Current Detection for Ultraviolet Photoelectron Spectroscopy Instrument

Linhuan Wei;Long Chen;Bohao Tong;Yali Guo;Xiaohan Hou;Yining Wang;Jie Bai;Shuang Wang;Yu Chen

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

A Vacuum Ultraviolet Light Source for Photoelectron Yield Spectroscopy Testing

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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In ultraviolet photoelectron yield spectroscopy testing, ultraviolet light is employed to excite photoelectrons from materials, and the resulting data is processed to obtain the corresponding spectra. This paper presents a vacuum ultraviolet light source designed for photoelectron spectroscopy testing. The light from a deuterium lamp is focused onto the entrance slit of a monochromator using a tor...Show More

A Vacuum Ultraviolet Light Source for Photoelectron Yield Spectroscopy Testing

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Numerical Calculation and Experimental Reserch of Ultraviolet Photoelectron Yield Spectrum of AlGaN Photocathode Material

Bohao Tong;Xiaohan Hou;Yali Guo;Shuang Wang;Jie Bai;Yu Chen

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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AlGaN photocathode can realize the “solar-blind” ultraviolet detection function with a wavelength response range below 280 nm due to its adjustable Al component. Based on the classical three-step emission theory and combined with the solid band theory, the theoretical models of ultraviolet photoelectron yield of reflective and transmissive photocathodes were established and the expressions were de...Show More

Numerical Calculation and Experimental Reserch of Ultraviolet Photoelectron Yield Spectrum of AlGaN Photocathode Material

Bohao Tong;Xiaohan Hou;Yali Guo;Shuang Wang;Jie Bai;Yu Chen

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Generator for Wind Turbine Based on ResNet-50 Transfer Learning Model

Siyu Du;Yu Chen;Sichao Zhang;Feng Liang;Nadeem Shahbaz;Guoqiang Zhu;Shouwang Zhao;Shuang Wang;Yong Ma;Chong Li;Zhongjie Wang;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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This paper utilizes Convolutional Neural Networks (CNN) with Residual Networks (ResNet) to identify and classify demagnetization faults in images. Firstly, we collected current feature datasets corresponding to two types of permanent magnet wind turbines, namely 25 kW and 2 MW, representing the source and target domains. Using the source domain dataset, we trained a ResNet50 model specifically for...Show More

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Generator for Wind Turbine Based on ResNet-50 Transfer Learning Model

Siyu Du;Yu Chen;Sichao Zhang;Feng Liang;Nadeem Shahbaz;Guoqiang Zhu;Shouwang Zhao;Shuang Wang;Yong Ma;Chong Li;Zhongjie Wang;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Fault Diagnosis of Inter-Turn Short Circuits in Doubly-Fed Induction Generators Based on External Magnetic Field and Vibration Signal Fusion

Shouwang Zhao;Yu Chen;Nadeem Shahbaz;Sichao Zhang;Feng Liang;Shuang Wang;Yong Ma;Wei Deng;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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This manuscript introduces a novel diagnostic technique for identifying inter-turn short circuits in doubly-fed induction generators (DFIGs) by integrating multi-channel external magnetic field (MFL) and vibration signals. The approach begins with cepstral pre-whitening to mitigate noise and improve the identification of fault-related characteristics. Following this, a correlation analysis is cond...Show More

Fault Diagnosis of Inter-Turn Short Circuits in Doubly-Fed Induction Generators Based on External Magnetic Field and Vibration Signal Fusion

Shouwang Zhao;Yu Chen;Nadeem Shahbaz;Sichao Zhang;Feng Liang;Shuang Wang;Yong Ma;Wei Deng;Yong Zhao

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Research Progress on Inverse Photoemission Spectroscopy Analysis and Testing Technology

Sichao Zhang;Yu Chen;Chaobo Zhang;Siyu Tian;Tiansong Zhang;Yan Wang;Ao Tan;Shuang Wang;Jie Bai

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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Inverse photoemission spectroscopy analysis is an important method that can be used to study the electronic structure of the surface of materials. It can obtain the conduction band structure of the material. Combined with photoemission spectroscopy analysis, complete electronic structure information can be obtained. Therefore, it can be an important scientific instrument for characterizing the fin...Show More

Research Progress on Inverse Photoemission Spectroscopy Analysis and Testing Technology

Sichao Zhang;Yu Chen;Chaobo Zhang;Siyu Tian;Tiansong Zhang;Yan Wang;Ao Tan;Shuang Wang;Jie Bai

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Assessment of Machine Learning Techniques for Identifying Demagnetization Stress in PMSG Using Flux and Current Signals

Nadeem Shahbaz;Yu Chen;Feng Liang;Shouwang Zhao;Sichao Zhang;Shuang Wang;Yong Ma;Yong Zhao;Wei Deng

2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing)

Year: 2024 | Conference Paper |

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This study focuses on the detection of faults in wind turbine operations to ensure reliability, safety, and cost efficiency. It introduces a machine learning-based diagnostic approach for identifying various faults, including eccentricity faults, stator short circuits, and both damaged and aging magnets in a 25 kW Permanent Magnet Synchronous Generator (PMSG). A 2D simulation model utilizing the F...Show More

Assessment of Machine Learning Techniques for Identifying Demagnetization Stress in PMSG Using Flux and Current Signals

Nadeem Shahbaz;Yu Chen;Feng Liang;Shouwang Zhao;Sichao Zhang;Shuang Wang;Yong Ma;Yong Zhao;Wei Deng

2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing)

Year: 2024 | Conference Paper |

Study on X-ray Irradiation Effect of Shape Memory Epoxy for Space Deployable Structures

Shuang Wang;Jing Li;Min Li;Chenyang Li;Jiale Mao;Yu Chen;Zicai Shen

2024 IEEE 14th International Conference on the Properties and Applications of Dielectric Materials (ICPADM)

Year: 2024 | Conference Paper |

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The space deployable structure based on shape memory polymers is a promising development direction for large spacecraft in the future. However, in the space environment, shape memory polymers will be affected by a series of harsh space environments, such as X-ray radiation, causing degradation of material properties and even affecting the normal operation of spacecraft. In this paper, based on bis...Show More

Study on X-ray Irradiation Effect of Shape Memory Epoxy for Space Deployable Structures

Shuang Wang;Jing Li;Min Li;Chenyang Li;Jiale Mao;Yu Chen;Zicai Shen

2024 IEEE 14th International Conference on the Properties and Applications of Dielectric Materials (ICPADM)

Year: 2024 | Conference Paper |

Enhancement of the Comprehensive Energy Storage Performance of Epoxy Film Achieved by Chain Segment Saturation Adjustment

Siyuan Feng;Jiale Mao;Wenjie Ma;Tianyu Jiang;Shuang Wang;Yonghong Cheng

2024 IEEE 14th International Conference on the Properties and Applications of Dielectric Materials (ICPADM)

Year: 2024 | Conference Paper |

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Rapid advancements in areas like new energy generation systems, energy conversion equipment, and electric vehicles have necessitated capacitor films with high comprehensive energy storage performance. In contrast, current commercially biaxially oriented polypropylene film (BOPP) is gradually unable to meet diverse requirements, particularly in terms of energy storage density and operating temperat...Show More

Enhancement of the Comprehensive Energy Storage Performance of Epoxy Film Achieved by Chain Segment Saturation Adjustment

Siyuan Feng;Jiale Mao;Wenjie Ma;Tianyu Jiang;Shuang Wang;Yonghong Cheng

2024 IEEE 14th International Conference on the Properties and Applications of Dielectric Materials (ICPADM)

Year: 2024 | Conference Paper |

Radiation-Induced Conductivity of Alumina Materials Under Steady-State X-Ray Irradiation: Numerical Calculations and Measurements

Hui Zhong;Yu Chen;Dongli Yue;Zhichao Li;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

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Research on the resistance of materials to ionization radiation and radiation-induced conductivity measurements in X-ray environments has attracted considerable interest in various fields. A system is developed to evaluate the radiation-induced conductivity of alumina samples under steady-state X-ray irradiation. The dose rate and bias electric field ranges are 0.25-1.47 Gy $\cdot $ s-1 and 0.64-3...Show More

Radiation-Induced Conductivity of Alumina Materials Under Steady-State X-Ray Irradiation: Numerical Calculations and Measurements

Hui Zhong;Yu Chen;Dongli Yue;Zhichao Li;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Identifying Early Stator Fault Severity in DFIGs Based on Adaptive Feature Mode Decomposition and Multiscale Complex Component Current Trajectories

Shouwang Zhao;Yu Chen;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

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Early fault detection is critical for ensuring reliable operation in wind power generation systems employing doubly fed induction generators (DFIGs). Although the widespread use of motor current signature analysis (MCSA) for noninvasive fault detection, early-stage faults in DFIGs often present with weak characteristic fault information, posing challenges for detection amidst noise and interferenc...Show More

Identifying Early Stator Fault Severity in DFIGs Based on Adaptive Feature Mode Decomposition and Multiscale Complex Component Current Trajectories

Shouwang Zhao;Yu Chen;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Multifactor Aging Characteristics of GIS Solid Insulation: Effect of Electrical, Thermal, and Vibration Stresses

Shuang Wang;Yu Chen;Cong Liu;Kai Yao;Jiale Mao;Yonghong Cheng;Zengbin Wang;Ruilei Gong

IEEE Transactions on Dielectrics and Electrical Insulation

Year: 2024 | Volume: 31, Issue: 6 | Journal Article |

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Solid insulation in gas-insulated switchgear (GIS), like the basin insulator, is vital for supporting high-voltage conductors, isolating GIS compartments, and providing ground insulation. Multifactor accelerated aging tests play a crucial role in evaluating GIS solid insulation conditions and predicting its lifetime. Yet, there is less research on mechanical stress-induced aging compared with elec...Show More

Multifactor Aging Characteristics of GIS Solid Insulation: Effect of Electrical, Thermal, and Vibration Stresses

Shuang Wang;Yu Chen;Cong Liu;Kai Yao;Jiale Mao;Yonghong Cheng;Zengbin Wang;Ruilei Gong

IEEE Transactions on Dielectrics and Electrical Insulation

Year: 2024 | Volume: 31, Issue: 6 | Journal Article |

The Multifactor Aging Characteristics and Aging State Assessment of Epoxy Composites for GIS

Shuang Wang;Yu Chen;Feng Jia;Bin Guo;Jiale Mao;Yonghong Cheng;Zengbin Wang;Ruilei Gong

IEEE Transactions on Dielectrics and Electrical Insulation

Year: 2024 | Volume: 31, Issue: 6 | Journal Article |

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Epoxy and its composites are widely used as raw materials for the solid insulations in gas-insulated switchgear (GIS) worldwide due to their excellent dielectric properties, thermal stability, corrosion resistance, and ease of processing. These insulation materials show aging phenomena under multiple stresses of electrical, thermal, and vibration during GIS operation, which reduces the electrical ...Show More

The Multifactor Aging Characteristics and Aging State Assessment of Epoxy Composites for GIS

Shuang Wang;Yu Chen;Feng Jia;Bin Guo;Jiale Mao;Yonghong Cheng;Zengbin Wang;Ruilei Gong

IEEE Transactions on Dielectrics and Electrical Insulation

Year: 2024 | Volume: 31, Issue: 6 | Journal Article |

Detecting Incipient Inter-Turn Short Circuit Faults in DFIGs Based on Magnetic Flux Leakage Theory and MPJ-SVDD Analytical Method

Shouwang Zhao;Yu Chen;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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This manuscript presents the Magnetic Flux Leakage (MFL) theory for incipient inter-turn short circuit (ITSC) faults in the Doubly Fed Induction Generators (DFIGs), which involves the simulation and modeling of the failure mechanism, the quantitative and qualitative description analysis, the health indicator construction, and early weak fault detection and state evaluation based on MFL theory. Fir...Show More

Detecting Incipient Inter-Turn Short Circuit Faults in DFIGs Based on Magnetic Flux Leakage Theory and MPJ-SVDD Analytical Method

Shouwang Zhao;Yu Chen;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)

Year: 2023 | Conference Paper |

Design of Dielectric Constant Sensor for Transformer Oil Condition Detection Based on All-Metal Metamaterial

Shuang Wang;Lingjun Zeng;Jing Li;Min Li;Jiale Mao;Yu Chen

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

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This paper proposes an all-metal metamaterial based highly sensitive sensor for the microwave section of transformer oil condition. The sensor's resonator part belongs to the Complementary Split Ring Resonator (CSRR) structure. The sensing principle of the structure is realized by utilizing the electrical properties in the transformer oil. The difference between waste transformer oil and clean oil...Show More

Design of Dielectric Constant Sensor for Transformer Oil Condition Detection Based on All-Metal Metamaterial

Shuang Wang;Lingjun Zeng;Jing Li;Min Li;Jiale Mao;Yu Chen

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Measurement of Radiation-Induced Conductivity of Alumina Material Under Steady-state X-Ray Irradiation

Hui Zhong;Yu Chen;Dongli Yue;Zhichao Li;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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X-ray is a typical radiation environment, and the service life of essential equipment and systems in this environment will be significantly reduced. Due to their excellent electrical, thermal, mechanical, and physicochemical properties, Alumina materials are widely used in essential devices, such as electric vacuum devices. Radiation-induced conductivity is an important physical quantity for measu...Show More

Measurement of Radiation-Induced Conductivity of Alumina Material Under Steady-state X-Ray Irradiation

Hui Zhong;Yu Chen;Dongli Yue;Zhichao Li;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Multiscale Park's Vector Approach for Identifying Early Stator Fault Severity Using MCSA in DFIGs

Yu Chen;Shouwang Zhao;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Early fault detection of Doubly-fed Induction Generators (DFIG) is a key problem for reliable operation of wind power generation. Motor current signature analysis (MCSA) is the most reliable and widely used technique, gaining favor because it is non-invasive. In the initial stage of wind generator fault, the fault characteristic information is weak and easy to be covered by noise and interference ...Show More

Multiscale Park's Vector Approach for Identifying Early Stator Fault Severity Using MCSA in DFIGs

Yu Chen;Shouwang Zhao;Feng Liang;Sichao Zhang;Nadeem Shahbaz;Shuang Wang;Yong Zhao;Wei Deng;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Numerical Study on RFV Model of Conductivity Induced by Steady X-Ray Radiation of Polyimide Materials

Zhichao Li;Yu Chen;Hui Zhong;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yangjun Lei;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

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As the main component of intense ionizing radiation, X-ray irradiation will cause surface and deep charging of dielectric materials, leading to surface flashover or body breakdown of materials. Polyimide is an insulating dielectric material with excellent performance, and radiation-induced conductivity is directly related to the charging of materials. It is one of the important parameters for stud...Show More

Numerical Study on RFV Model of Conductivity Induced by Steady X-Ray Radiation of Polyimide Materials

Zhichao Li;Yu Chen;Hui Zhong;Xiaohan Hou;Shuang Wang;Xiaofeng Zhu;Yangjun Lei;Yonghong Cheng

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Photovoltaic Module Electroluminescence Defect Detection Method and Defect Analysis

Jinhao Ma;Enxiang Zhang;Tiansong Zhang;Zhichao Li;Shuang Wang;Hao Zhang;Da Wu;Meixia Li;Hongyu Ren;Xiaojun Xie;Yong Zhao;Yu Chen

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

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In response to problems such as traditional energy shortages and environmental damage, the sustainable photovoltaic new energy industry is ushering in rapid development. Crystalline silicon solar panels are an important component of photovoltaic power generation systems, and their quality determines the efficiency of photovoltaic power generation. With the development of the photovoltaic industry,...Show More

Photovoltaic Module Electroluminescence Defect Detection Method and Defect Analysis

Jinhao Ma;Enxiang Zhang;Tiansong Zhang;Zhichao Li;Shuang Wang;Hao Zhang;Da Wu;Meixia Li;Hongyu Ren;Xiaojun Xie;Yong Zhao;Yu Chen

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

High-Efficiency Energy Collection Module of Vacuum Ultraviolet Monochromator Based on Image Slicers

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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In the measurement of the photoemission yield spectrum and energy spectrum, the energy intensity of UV monochromatic light plays a crucial role in determining the signal-to-noise ratio of the test results. The efficiency of the monochromator is a key factor in limiting the energy of UV monochromatic light. Therefore, designing an efficient vacuum ultraviolet monochromator is highly important. This...Show More

High-Efficiency Energy Collection Module of Vacuum Ultraviolet Monochromator Based on Image Slicers

Yiming Wang;Yu Huang;Xiaoxu Wang;Zhanfeng Li;Yu Chen;Shuang Wang

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Numerical Calculation and Experimental Study of Ultraviolet Photoelectron Emission Yield of Metallic Aluminum

Yali Guo;Yu Chen;Xiaohan Hou;Changxi Li;Hui Zhong;Shuang Wang;Zicai Sheng;Yu Huang

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

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Aiming at the problem of surface charging of exposed materials faced by spacecraft operation in orbit, this paper analyzes the photoelectron emission mechanism of metallic aluminum. Based on the three-step theoretical model of photoelectron emission, the expression of photoelectron emission yield of metallic materials is derived, and the numerical calculation of photoelectron emission yield of alu...Show More

Numerical Calculation and Experimental Study of Ultraviolet Photoelectron Emission Yield of Metallic Aluminum

Yali Guo;Yu Chen;Xiaohan Hou;Changxi Li;Hui Zhong;Shuang Wang;Zicai Sheng;Yu Huang

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Radiation-Induced Conductivity of Polyimide Under Monochromatic X-Ray Irradiation: Calculation, Numerical Simulation, and Measurement

Hui Zhong;Yu Chen;Xiaohan Hou;Dongli Yue;Jingwen Zhang;Xiaofeng Zhu;Shuang Wang;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Cited by: Papers (3)

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X-ray irradiation on dielectric materials will affect their electrical properties, reducing the service life of the equipment. Therefore, calculating and measuring the radiation-induced conductivity is of tremendous significance in studying the radiation effects of dielectric materials. For the research requirements of detector calibration and numerical calculation of radiation-induced conductivit...Show More

Radiation-Induced Conductivity of Polyimide Under Monochromatic X-Ray Irradiation: Calculation, Numerical Simulation, and Measurement

Hui Zhong;Yu Chen;Xiaohan Hou;Dongli Yue;Jingwen Zhang;Xiaofeng Zhu;Shuang Wang;Yonghong Cheng

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Power Transmission Line Defect Recognition Method Based on Binocular Feature Fusion and Improved FCOS Detection Head

Mingfeng Mao;Lu Liu;Wenxiang Chen;Weiqi Xiong;Xuelei Xi;Guoqiang Zhu;Yan Zhang;Shuang Wang;Yu Chen

2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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UAVs are widely used in transmission line inspection. Inspectors operate UAVs to take images of transmission lines and analyze and identify these images. Detecting transmission line defects in UAV inspection images is an important task. This paper proposes a transmission line defect detection method based on binocular feature fusion and an improved FCOS detection head. First, a binocular feature f...Show More

Power Transmission Line Defect Recognition Method Based on Binocular Feature Fusion and Improved FCOS Detection Head

Mingfeng Mao;Lu Liu;Wenxiang Chen;Weiqi Xiong;Xuelei Xi;Guoqiang Zhu;Yan Zhang;Shuang Wang;Yu Chen

2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2022 | Conference Paper |

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