Loading [MathJax]/extensions/MathMenu.js

Zulong Diao - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Zulong Diao

Publications

12

Citations

100

Publications by Year

20182024

Co-Authors:

Jiannong CaoJianguo ChenShaoyao HeShiming HeHaiyang Jiang

Show All Co-Authors (30)

Zulong Diao

Affiliation

Institute of Computing Technology

Chinese Academy of Sciences

Beijing, China

Purple Mountain Laboratories, Nanjing, China

Publication Topics

Convolutional Neural Network,
Graph Neural Networks,
Neural Network,
Device Identification,
Internet Of Things,
Internet Of Things Devices,
Long Short-term Memory,
Storage Cost,
Types Of Devices,
Accurate Identification,
Adjacent Vertices,
Algorithmic Perspective

Biography

Zulong Diao received the Ph.D. degree in software engineering from Hunan University, Changsha, China, in 2019. He is currently working as a Research Associate with the Institute of Computing Technology, Chinese Academy of Sciences, and the Purple Mountain Laboratory. His research interests include machine learning, edge computing, and abnormal detection.(Based on document published on 16 April 2020).

Publications

12

Citations

100

Publications by Year

20182024

Co-Authors:

Jiannong Cao
Jianguo Chen
Shaoyao He
Shiming He
Haiyang Jiang

Show All Co-Authors (30)

Author's Published Works

Search History

Showing 1-25 of 55 results

Journals (28)

Conferences (27)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Baoliang Wang(55)
Zhiyao Huang(51)
Haifeng Ji(47)
Haiqing Li(37)
Yandan Jiang(21)
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China(25)
State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, University of Zhejiang, Hangzhou, China(15)
State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou, China(3)
Department of Control Science and Engineering, Zhejiang University, Hangzhou, China(3)
College of Control Science and Engineering, Zhejiang University, Hangzhou, China(3)
IEEE Transactions on Instrumentation and Measurement(14)
IEEE Sensors Journal(8)
2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings(4)
2017 Chinese Automation Congress (CAC)(3)
IEEE Access(3)
IEEE(55)
Graz, Austria(4)
Hangzhou, China(3)
Jinan, China(3)
Austin, TX, USA(2)
Baltimore, MD, USA(2)
Two-phase Flow(28)
Image Reconstruction(21)
Capacitive Coupling(20)
Electrical Impedance Tomography(19)
Bubble Flow(15)

Select All on Page

Sort By

Results

Image Reconstruction of Capacitively Coupled Electrical Resistance Tomography Based on An Improved Kalman Filter Model

Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

HTML

By developing an improved Kalman filter (KF) model, a new imaging method of capacitively coupled electrical resistance tomography (CCERT) is proposed for monitoring multiphase flows. In the improved KF model, the innovative idea of state evolution learning is proposed to learn the spatiotemporal correlations between the fluid states, and the level-based state representation is integrated to reduce...Show More

Image Reconstruction of Capacitively Coupled Electrical Resistance Tomography Based on An Improved Kalman Filter Model

Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

Tomographic Object Detection by Unsupervised Clustering

Fengyuan Wang;Zheng Wang;Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang

2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)

Year: 2024 | Conference Paper |

HTML

This work introduces clustering to electrical tomography (ET) and first compares the effectiveness of different unsupervised clustering categories in tomographic object detection. First, the one-step linear back projection (LBP) algorithm is applied to reconstruct a rough image. Then, clustering is introduced to detect and refine the objects in the image, and a higher-quality image is obtained bas...Show More

Tomographic Object Detection by Unsupervised Clustering

Fengyuan Wang;Zheng Wang;Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang

2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)

Year: 2024 | Conference Paper |

A Wideband Contactless Electrical Impedance Tomography System

Huaiyin Zhu;Baoliang Wang;Manuchehr Soleimani;Haifeng Ji;Yandan Jiang

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Cited by: Papers (4)

HTML

This work focuses on the development of a wideband contactless electrical impedance tomography (EIT) system. The system is developed from the aspects of the multifrequency capacitively coupled electrical impedance tomography (CCEIT) hardware, the impedance calculation model, and the system evaluation. The hardware includes a 12-electrode CCEIT sensor, six sensing modules, a data acquisition module...Show More

A Wideband Contactless Electrical Impedance Tomography System

Huaiyin Zhu;Baoliang Wang;Manuchehr Soleimani;Haifeng Ji;Yandan Jiang

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

A Joint Image Reconstruction Method for Capacitively Coupled Electrical Impedance Tomography

Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Cited by: Papers (2)

HTML

Capacitively coupled electrical impedance tomography (CCEIT) is a contactless improvement of electrical resistance tomography (ERT) that uses both the real and imaginary parts of the impedance. To make better use of the two parts, a novel joint image reconstruction method with structural grouping guidance for CCEIT is proposed in this work. The method presents a fusion-while-reconstruction approac...Show More

A Joint Image Reconstruction Method for Capacitively Coupled Electrical Impedance Tomography

Yimin Wu;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

A New CCERT System With Shielding for Gas-Liquid Two-Phase Flow

Xintong Fang;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 4 | Journal Article |

Cited by: Papers (6)

HTML

This article presents a new capacitively coupled electrical resistance tomography (CCERT) system with shielding for gas-liquid two-phase flow. The new system is developed from the aspects of hardware, image reconstruction algorithm and experiments. The hardware includes a 12-electrode CCERT sensor with shielding, a measurement circuit and an image reconstruction computer. The sensor with shielding...Show More

A New CCERT System With Shielding for Gas-Liquid Two-Phase Flow

Xintong Fang;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 4 | Journal Article |

A New Flow Pattern Identification Method for Gas–Liquid Two-Phase Flow in Small Channel Based on an Improved Optical Flow Algorithm

Jinqiu Lv;Haifeng Ji;Yandan Jiang;Baoliang Wang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 22 | Journal Article |

Cited by: Papers (3)

HTML

A new flow pattern identification method based on the optical flow algorithm for gas–liquid two-phase flow in small channels is presented. In this method, an improved optical flow algorithm, the optical flow algorithm based on curvature domain descriptor, is proposed to overcome the influence of uneven illumination. Then, the characteristic of the optical flow field is analyzed, and two features o...Show More

A New Flow Pattern Identification Method for Gas–Liquid Two-Phase Flow in Small Channel Based on an Improved Optical Flow Algorithm

Jinqiu Lv;Haifeng Ji;Yandan Jiang;Baoliang Wang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 22 | Journal Article |

An Analytical Method for 3-D Target Localization Based on a Four-Element Ultrasonic Sensor Array With TOA Measurement

Yizhen Qiu;Yandan Jiang;Baoliang Wang;Zhiyao Huang

IEEE Sensors Letters

Year: 2023 | Volume: 7, Issue: 5 | Journal Article |

Cited by: Papers (3)

HTML

A new analytical method for 3-D target localization based on a four-element ultrasonic sensor array is proposed. In the sensor array, with the consideration of good real-time performance, one ultrasonic sensor (the reference ultrasonic sensor) works both as a transmitter and as a receiver, while the other three sensors work as receivers. A basic target localization model is developed. The necessar...Show More

An Analytical Method for 3-D Target Localization Based on a Four-Element Ultrasonic Sensor Array With TOA Measurement

Yizhen Qiu;Yandan Jiang;Baoliang Wang;Zhiyao Huang

IEEE Sensors Letters

Year: 2023 | Volume: 7, Issue: 5 | Journal Article |

A Grid-Based Density Peaks Clustering Algorithm

Xintong Fang;Zhen Xu;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 4 | Journal Article |

Cited by: Papers (10)

HTML

This article focuses on the improvement of density peaks clustering (DPC, also known as clustering by fast search and find of density peaks) by the introduction of the grid clustering. A grid division is used to divide the data space into grid cells. The global characteristic of grid cell replaces the characteristic of the data points. The local density of DPC is replaced by the density of the gri...Show More

A Grid-Based Density Peaks Clustering Algorithm

Xintong Fang;Zhen Xu;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 4 | Journal Article |

A New Electrical Resistance Measurement Method of Carbon Fiber-Reinforced Polymer Tubes Based on C⁴D Technique

Pinghao Liang;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

Cited by: Papers (2)

HTML

This work introduces the capacitively coupled contactless conductivity detection ( $\text{C}^{{4}}\text{D}$ ) technique into nondestructive testing (NDT) of carbon fiber-reinforced polymer (CFRP) and proposes a new resistance measurement method of CFRP tubes. The proposed method does not require direct contact between the electrodes and the carbon fiber. Therefore, the electrical resistance of CFR...Show More

A New Electrical Resistance Measurement Method of Carbon Fiber-Reinforced Polymer Tubes Based on C⁴D Technique

Pinghao Liang;Yandan Jiang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

A Two-Stream Deep Imaging Method for Multifrequency Capacitively Coupled Electrical Resistance Tomography

Chunfen Luo;Liying Zhu;Yandan Jiang;Maomao Zhang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

Cited by: Papers (2)

HTML

In this work, a novel deep imaging method is proposed for multifrequency capacitively coupled electrical resistance tomography (MFCCERT). A two-stream network consisting of a low-frequency stream and a high-frequency stream is developed according to the frequency characteristics of the interested impedance. Meanwhile, a cross-stream information intersection approach, which combines hyper-dense con...Show More

A Two-Stream Deep Imaging Method for Multifrequency Capacitively Coupled Electrical Resistance Tomography

Chunfen Luo;Liying Zhu;Yandan Jiang;Maomao Zhang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

A New Image Reconstruction Algorithm for CCERT Based on Improved DPC and K-Means

Zheng Wang;Yandan Jiang;Junchao Huang;Baoliang Wang;Haifeng Ji;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

Cited by: Papers (7)

HTML

Based on density peaks clustering (DPC) and K-means, this work aims to propose a new image reconstruction algorithm for capacitively coupled electrical resistance tomography (CCERT). To better apply DPC and K-means to CCERT, DPC is improved by automatically selecting the cluster centers and K-means is improved by introducing a post-processing in consider of the non-uniform sensitivity characterist...Show More

A New Image Reconstruction Algorithm for CCERT Based on Improved DPC and K-Means

Zheng Wang;Yandan Jiang;Junchao Huang;Baoliang Wang;Haifeng Ji;Zhiyao Huang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

A New Online Monitoring Method for Water-in-Oil Droplet Based Microfluidic Devices

Yuchen He;Yu He;Yandan Jiang;Tao Zhang;Haifeng Ji;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

Cited by: Papers (3)

HTML

The online water-in-oil (w/o) droplet monitoring is essential for the uniformity of the droplet based microfluidic devices. In this work, a contactless impedance detection (CID) method for online w/o droplet monitoring in microfluidic devices is proposed. In the proposed method, a new CID sensor, which can work at low working frequency and overcome the unfavorable influence of coupling capacitance...Show More

A New Online Monitoring Method for Water-in-Oil Droplet Based Microfluidic Devices

Yuchen He;Yu He;Yandan Jiang;Tao Zhang;Haifeng Ji;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 5 | Journal Article |

An Analytical Method for 3-D Sound Source Localization Based on a Five-Element Microphone Array

Yizhen Qiu;Bohan Li;Junchao Huang;Yandan Jiang;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

Cited by: Papers (4)

HTML

An analytical method for 3-D sound source localization based on a five-element microphone array is proposed in this work. With four time-difference-of-arrival (TDOA) values, the proposed method realizes the sound source localization by analytical solution. A new five-element microphone array configuration (which is characterized in that four microphones are in the same plane and at four vertices o...Show More

An Analytical Method for 3-D Sound Source Localization Based on a Five-Element Microphone Array

Yizhen Qiu;Bohan Li;Junchao Huang;Yandan Jiang;Baoliang Wang;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

Study on Dual-Frequency Imaging of Capacitively Coupled Electrical Impedance Tomography: Frequency Optimization

Yandan Jiang;Junchao Huang;Haifeng Ji;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

Cited by: Papers (7)

HTML

In this work, a new dual-frequency imaging framework of capacitively coupled electrical impedance tomography (CCEIT) is presented. Unlike conventional single-frequency imaging and recently emerged multifrequency imaging, the dual-frequency imaging adopts two different working frequencies to obtain the real part and the imaginary part of the impedance, respectively. With the real part image and the...Show More

Study on Dual-Frequency Imaging of Capacitively Coupled Electrical Impedance Tomography: Frequency Optimization

Yandan Jiang;Junchao Huang;Haifeng Ji;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2022 | Volume: 71 | Journal Article |

An Image Reconstruction Algorithm for a 12-Electrode Capacitively Coupled Electrical Resistance Tomography System Under 2-Electrode Excitation Strategy

Zhen Xu;Junchao Huang;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Cited by: Papers (12)

HTML

An image reconstruction algorithm, which is developed for a 12-electrode capacitively coupled electrical resistance tomography (CCERT) system under 2-electrode excitation strategy, is proposed. Based on L-curve and Reginska’s method, truncated singular value decomposition (TSVD) is used to reconstruct the initial image. The algebraic reconstruction technique (ART) algorithm is used to obtain the f...Show More

An Image Reconstruction Algorithm for a 12-Electrode Capacitively Coupled Electrical Resistance Tomography System Under 2-Electrode Excitation Strategy

Zhen Xu;Junchao Huang;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Manuchehr Soleimani

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

An Image Reconstruction Method of Capacitively Coupled Electrical Impedance Tomography (CCEIT) Based on DBSCAN and Image Fusion

Xuekai He;Yandan Jiang;Baoliang Wang;Haifeng Ji;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Cited by: Papers (16)

HTML

Based on linear back projection (LBP) algorithm, density-based spatial clustering of applications with noise (DBSCAN) algorithm and image fusion technique, a new image reconstruction method of capacitively coupled electrical impedance tomography (CCEIT) is proposed in this work. LBP is used to obtain the original image of the real part and the original image of the imaginary part. The gray level t...Show More

An Image Reconstruction Method of Capacitively Coupled Electrical Impedance Tomography (CCEIT) Based on DBSCAN and Image Fusion

Xuekai He;Yandan Jiang;Baoliang Wang;Haifeng Ji;Zhiyao Huang

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

New Contactless Conductivity Detection (CCD) Sensor for Fluid Conductivity Measurement

Xiao-Yu Tang;Junchao Huang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2020 | Volume: 20, Issue: 19 | Journal Article |

Cited by: Papers (5)

HTML

A new contactless conductivity detection (CCD) sensor, which is on the basis of the capacitive reactance elimination principle, is developed in this work. The CCD sensor has two AC paths, the detection path and the compensation path. The unfavorable capacitive reactance produced by the coupling capacitances in the detection path is cancelled out by the capacitive reactance produced by an introduce...Show More

New Contactless Conductivity Detection (CCD) Sensor for Fluid Conductivity Measurement

Xiao-Yu Tang;Junchao Huang;Haifeng Ji;Baoliang Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2020 | Volume: 20, Issue: 19 | Journal Article |

A New Contactless Bubble/Slug Velocity Measurement Method of Gas–Liquid Two-Phase Flow in Small Channels

Junchao Huang;Bixia Sheng;Haifeng Ji;Zhiyao Huang;Baoliang Wang;Haiqing Li

IEEE Transactions on Instrumentation and Measurement

Year: 2019 | Volume: 68, Issue: 9 | Journal Article |

Cited by: Papers (15)

HTML

A new contactless bubble/slug velocity measurement method of the gas-liquid two-phase flow in small channels is proposed by extending the contactless conductivity detection technique to the contactless impedance detection (CID) technique. Two kinds of CID sensors with different constructions (tubular construction and radial construction) are developed to obtain the total impedance information (the...Show More

A New Contactless Bubble/Slug Velocity Measurement Method of Gas–Liquid Two-Phase Flow in Small Channels

Junchao Huang;Bixia Sheng;Haifeng Ji;Zhiyao Huang;Baoliang Wang;Haiqing Li

IEEE Transactions on Instrumentation and Measurement

Year: 2019 | Volume: 68, Issue: 9 | Journal Article |

Image Reconstruction Performance of a 12-Electrode CCERT Sensor Under Five Different Excitation Patterns

Zhen Xu;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (8)

HTML

To obtain useful knowledge and experience of CCERT under different excitation patterns, the image reconstruction performance of a 12-electrode CCERT sensor under five different excitation patterns (1-electrode excitation pattern, 2-electrode excitation pattern, 3-electrode excitation pattern, 4-electrode excitation pattern, and 5-electrode excitation pattern) are investigated and compared. A 12-el...Show More

Image Reconstruction Performance of a 12-Electrode CCERT Sensor Under Five Different Excitation Patterns

Zhen Xu;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

Year: 2018 | Volume: 6 | Journal Article |

A Model-Based Hybrid Ultrasonic Gas Flowmeter

Yandan Jiang;Baoliang Wang;Xia Li;Dandan Liu;Yueqin Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2018 | Volume: 18, Issue: 11 | Journal Article |

Cited by: Papers (18)

HTML

Combining the transmission “Z” mode and the reflection “V” mode, a new hybrid dual-path ultrasonic sensor is designed to make full use of the advantages of the two modes. With the hybrid sensor and a new model-based time-of-flight (TOF) measurement method, a new model-based hybrid ultrasonic gas flowmeter is developed. The model-based TOF measurement method, which includes a signal filtering part ...Show More

A Model-Based Hybrid Ultrasonic Gas Flowmeter

Yandan Jiang;Baoliang Wang;Xia Li;Dandan Liu;Yueqin Wang;Zhiyao Huang

IEEE Sensors Journal

Year: 2018 | Volume: 18, Issue: 11 | Journal Article |

Research on CCERT under two different excitation patterns

Yandan Jiang;Zhen Xu;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

2017 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2017 | Conference Paper |

Cited by: Papers (1)

HTML

In this work, the sensitivity distributions and the image reconstruction of a 12-electrode CCERT system under two different excitation patterns, the conventional one-electrode excitation pattern and the new proposed three-electrode excitation pattern, are studied. Simulation results show that the sensitivity distribution of CCERT under the three-electrode excitation pattern has better uniformity a...Show More

Research on CCERT under two different excitation patterns

Yandan Jiang;Zhen Xu;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

2017 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2017 | Conference Paper |

Development of a test system for Lamb wave gas sensor

Yangyang Huang;Baoliang Wang;Haifeng Ji;Zhiyao Huang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

HTML

Lamb wave gas sensor has broad industrial application prospects in gas sensing due to its multi-mode characteristic. Lamb wave gas sensor is now still in fundamental academic research period and its performance remains to be determined and verified experimentally. However, there is a lack of test system that can fully meet the test requirements of Lamb wave gas sensor. In this paper, a test system...Show More

Development of a test system for Lamb wave gas sensor

Yangyang Huang;Baoliang Wang;Haifeng Ji;Zhiyao Huang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

Application of convolution neural network to flow pattern identification of gas-liquid two-phase flow in small-size pipe

Zhiyong Yang;Haifeng Ji;Zhiyao Huang;Baoliang Wang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

Cited by: Papers (8)

HTML

Flow pattern is one of the most important parameters for gas-liquid two-phase flow. In this work, a new flow pattern identification method based on Convolution Neural Network (CNN) is presented. A 7-layer CNN structure is chosen, and the parameters of this network are determined by a training set. In order to verify the feasibility, experiments were carried out in horizontal pipe with the inner di...Show More

Application of convolution neural network to flow pattern identification of gas-liquid two-phase flow in small-size pipe

Zhiyong Yang;Haifeng Ji;Zhiyao Huang;Baoliang Wang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

A novel lateral resistivity logging-while-drilling (LWD) method in oil-based drilling fluid

Junyi Lu;Baoliang Wang;Haifeng Ji;Xin Li;Weining Ni;Wei Zhang;Zhiyao Huang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

HTML

Well logging technology is of great significance to oil production. A new lateral resistivity logging-while-drilling (LWD) method applied in oil-based drilling fluid condition is proposed in this paper by combining capacitive coupling with inductive coupling principle. By using a new logging model, the ineffectiveness of the conventional resistivity LWD methods in oil-based drilling fluid is overc...Show More

A novel lateral resistivity logging-while-drilling (LWD) method in oil-based drilling fluid

Junyi Lu;Baoliang Wang;Haifeng Ji;Xin Li;Weining Ni;Wei Zhang;Zhiyao Huang;Haiqing Li

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

Sensitivity Distribution of CCERT Sensor Under Different Excitation Patterns

Zhen Xu;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

Year: 2017 | Volume: 5 | Journal Article |

Cited by: Papers (12)

HTML

This paper focuses on the study of sensitivity distribution of the capacitively coupled electrical resistance tomography (CCERT) and the influences of excitation patterns on sensitivity distributions. The sensitivity distributions of a 12-electrode CCERT sensor under three excitation patterns (the one-electrode excitation pattern, the three-electrode excitation pattern, and the five-electrode exci...Show More

Sensitivity Distribution of CCERT Sensor Under Different Excitation Patterns

Zhen Xu;Yandan Jiang;Baoliang Wang;Zhiyao Huang;Haifeng Ji;Haiqing Li

Year: 2017 | Volume: 5 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.