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Ammar Hawbani - IEEE Xplore Author Profile

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Author details

Ammar Hawbani

Publications

133

Citations

1,393

Publications by Year

20162025

Co-Authors:

Mohammed H. AlsamhAaqif Afzaal AbbasiTalaat AbdelhamidAmr AbdussalamAdili Abudukelimu

Show All Co-Authors (238)

Ammar Hawbani

Affiliation

School of Computer Science

Shenyang Aerospace University

Shenyang, China

Publication Topics

Energy Consumption,
Internet Of Things,
Mobile Edge Computing,
Roadside Units,
Wireless Sensor Networks,
Deep Reinforcement Learning,
Unmanned Aerial Vehicles,
Edge Computing,
Time Slot,
Actor Network,
Computation Offloading,
Deep Q-network

Biography

Ammar Hawbani received BS, MS, and PhD degrees in computer software and theory from the University of Science and Technology of China (USTC), Hefei, China, in 2009, 2012, and 2016, respectively. From 2016 to 2023, he worked as a postdoctoral researcher with the School of Computer Science and Technology, USTC. He is a currently full professor with Shenyang Aerospace University. His research interests include IoT, WSNs, WBANs, WMNs, VANETs, and SDN.(Based on document published on 22 March 2024).

Publications

133

Citations

1,393

Publications by Year

20162025

Co-Authors:

Mohammed H. Alsamh
Aaqif Afzaal Abbasi
Talaat Abdelhamid
Amr Abdussalam
Adili Abudukelimu

Show All Co-Authors (238)

Author's Published Works

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Showing 1-25 of 27 results

Journals (18)

Conferences (8)

Early Access Articles (1)

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Ying Yan(27)
Jun Cai(17)
Adrian David Cheok(12)
Xin Zhang(10)
Peter B. Luh(9)
College of Electrical Engineering, Zhejiang University, Hangzhou, China(9)
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei, China(8)
Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA(8)
C-MEIC, CICAEET, and the School of Automation, Nanjing University of Information Science and Technology, Nanjing, China(7)
School of Automation, Nanjing University of Information Science and Technology, Nanjing, China(6)
IEEE Transactions on Instrumentation and Measurement(4)
IEEE Transactions on Power Electronics(4)
IEEE Access(3)
IEEE Transactions on Transportation Electrification(3)
IEEE Transactions on Automation Science and Engineering(2)
IEEE(27)
Beijing, China(1)
Fort Worth, TX, USA(1)
Gothenburg, Sweden(1)
Hangzhou, China(1)
Madison, WI, USA(1)
Fault Diagnosis(11)
Fault Diagnosis Method(8)
Failure Modes(7)
Hidden Markov Model(7)
Rotor Position(7)

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SCKF-LSTM-Based Trajectory Tracking for Electricity–Gas Integrated Energy System

Liang Chen;Yang Li;Jun Cai;Songlin Gu;Ying Yan

IEEE Transactions on Industrial Informatics

Year: 2025 | Early Access Article |

A novel approach of tracking the dynamic trajectories for electricity–gas interconnected networks is developed in the studies, leveraging a Kalman filter-based structure. To capture the accurate system trajectories, the Holt's exponential smoothing techniques and nonlinear dynamic equations of gas pipelines are applied to establish the power and gas system equations, respectively. Addressing the n...Show More

SCKF-LSTM-Based Trajectory Tracking for Electricity–Gas Integrated Energy System

Liang Chen;Yang Li;Jun Cai;Songlin Gu;Ying Yan

IEEE Transactions on Industrial Informatics

Year: 2025 | Early Access Article |

Power Switch Short-Circuit Fault Diagnosis for SRM Drives With Cross-Branch Current Sensors Connection

Jun Cai;Yuzheng Wang;Adrian David Cheok;Ying Yan;Zhong Chen;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 6 | Journal Article |

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In this article, a short fault diagnosis scheme for the power converter of switched reluctance motor drives system is proposed. To extract the current waveform and the short-circuit fault characteristic, a cross-branch current sensor connection structure and the current reconstruction scheme are proposed. Based on the new current measurement method, the short-circuit faults of power switch are cla...Show More

Power Switch Short-Circuit Fault Diagnosis for SRM Drives With Cross-Branch Current Sensors Connection

Jun Cai;Yuzheng Wang;Adrian David Cheok;Ying Yan;Zhong Chen;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 6 | Journal Article |

Real-Time Power Switch Short-Circuit Fault Diagnosis for the Power Converter in SRM Drives

Jun Cai;Yuzheng Wang;Wen Ding;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

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In this article, a real-time power switch short-circuit fault diagnosis strategy is proposed for the power converter system in switched reluctance motor (SRM) drives. The key steps of the strategy are as follows: 1) based on the difference in phase current characteristics after the power switch short fault occurs in the conduction and nonconduction regions, the faults are divided into eight catego...Show More

Real-Time Power Switch Short-Circuit Fault Diagnosis for the Power Converter in SRM Drives

Jun Cai;Yuzheng Wang;Wen Ding;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

Model Predictive Control Strategies in Switched Reluctance Motor Drives—An Overview

Jun Cai;Xiaolan Dou;Adrian David Cheok;Wen Ding;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 1 | Journal Article |

Cited by: Papers (1)

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Model predictive control (MPC) is an advanced control technique with salient features, such as simplicity applied in multivariable systems, fast-transient response, inclusion of nonlinearities, and straightforward constraints in the control law, which is attracted in applying for high-performance control of motor drives. The electromagnetic characteristics of the switched reluctance motor (SRM) ar...Show More

Model Predictive Control Strategies in Switched Reluctance Motor Drives—An Overview

Jun Cai;Xiaolan Dou;Adrian David Cheok;Wen Ding;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 1 | Journal Article |

Flux-Linkage Loop-Based Model Predictive Torque Control for Switched Reluctance Motor

Jun Cai;Xiaolan Dou;Shoujun Song;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Industrial Electronics

Year: 2025 | Volume: 72, Issue: 3 | Journal Article |

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To minimize the switch state combinations and lower the computational burden in traditional model predictive torque control (MPTC) strategies in switched reluctance motor (SRM), a flux-linkage loop-based MPTC is proposed in this article. In this method, the concept of direct torque control (DTC) of SRM is integrated with the MPTC, which adopts the voltage vector selection method of DTC and utilize...Show More

Flux-Linkage Loop-Based Model Predictive Torque Control for Switched Reluctance Motor

Jun Cai;Xiaolan Dou;Shoujun Song;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Industrial Electronics

Year: 2025 | Volume: 72, Issue: 3 | Journal Article |

A Soft Decoding Strategy for the Resolver in Motor Drive System

Jun Cai;Yuzheng Wang;Adrian David Cheok;Ying Yan;Xin Zhang;Edmond Q. Wu

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

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This article proposes a soft decoding strategy for the resolver-based position measurement system in the motor drives. To avoid using the traditional decoding microchips, the high-frequency sinusoidal signal injection, sine/cosine modulation outputs, and its conditioning circuits in this system are all implemented using the most basic analog circuits. After conditioning, an angle tracking observer...Show More

A Soft Decoding Strategy for the Resolver in Motor Drive System

Jun Cai;Yuzheng Wang;Adrian David Cheok;Ying Yan;Xin Zhang;Edmond Q. Wu

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Overview of the Direct Torque Control Strategy in Switched Reluctance Motor Drives

Jun Cai;Xiaolan Dou;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Cited by: Papers (1)

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Direct torque control (DTC) is a highly efficient variable frequency speed regulation technology that has simple control structures, a clear physical concept of signal processing, and good torque dynamic performance. The DTC is widely applied in high-performance control of ac motor drives. In recent years, the DTC has also been applied to ensure high-performance torque control in switched reluctan...Show More

Overview of the Direct Torque Control Strategy in Switched Reluctance Motor Drives

Jun Cai;Xiaolan Dou;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Non-Integer Order Polynomial Network: A Novel Fault Diagnosis Tool

Ying Yan;Jiongrui Lv;Jun Cai;Edmond Qi Wu;Adrian David Cheok;Aiguo Song

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

Year: 2024 | Conference Paper |

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This paper introduces a novel Non-Integer Order Polynomial Network (NIOPN) designed to achieve higher approximation accuracy by employing fractional moments to approximate nonlinear functions, compared to the integer moments used in traditional Multidimensional Taylor Networks (MTN). The fractional moment polynomials offer richer and more precise mathematical representations, enhancing the accurac...Show More

Non-Integer Order Polynomial Network: A Novel Fault Diagnosis Tool

Ying Yan;Jiongrui Lv;Jun Cai;Edmond Qi Wu;Adrian David Cheok;Aiguo Song

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

Year: 2024 | Conference Paper |

A Survey of Phase-Locked Loop Technologies in Sensorless Position Estimation of Permanent Magnet Synchronous Motor Drives

Jun Cai;Yuhan Gu;Adrian David Cheok;Ying Yan

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Cited by: Papers (1)

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The phase-locked loop (PLL) algorithm uses the external input reference signal to control the frequency and phase of the internal oscillation signal of the loop; thus, the control signal and the internal signal can be synchronized to achieve the purpose of phase locking. This algorithm has been widely used in the sensorless position estimation technology of permanent magnet synchronous motor (PMSM...Show More

A Survey of Phase-Locked Loop Technologies in Sensorless Position Estimation of Permanent Magnet Synchronous Motor Drives

Jun Cai;Yuhan Gu;Adrian David Cheok;Ying Yan

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

A Siam-LSTM Model for Multichannel EEG on VR Motion Sickness Recognition

Chengcheng Hua;Zhanfeng Zhou;Jianlong Tao;Ying Yan;Jia Liu;Rongrong Fu;Lining Chai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 21 | Journal Article |

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The combination of prior knowledge of electroencephalography (EEG) and deep learning always receives better results in EEG pattern recognition. Thus, we propose end-to-end models combining functional brain network (FBN) and Siamese long short-term memory (Siam-LSTM) model and apply them to a virtual reality motion sickness (VRMS) recognition task. Siam-LSTM is a key module in the proposed models t...Show More

A Siam-LSTM Model for Multichannel EEG on VR Motion Sickness Recognition

Chengcheng Hua;Zhanfeng Zhou;Jianlong Tao;Ying Yan;Jia Liu;Rongrong Fu;Lining Chai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 21 | Journal Article |

WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG

Haoyang Cai;Ying Yan;Guanting Liu;Jun Cai;Adrian David Cheok;Na Liu;Chengcheng Hua;Jing Lian;Zhiyong Fan;Anqi Chen

Year: 2024 | Volume: 12 | Journal Article |

Cited by: Papers (2)

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High-performance automated detection methods for epilepsy play a crucial role in clinical diagnostic support. To address the challenge of effectively extracting features from epileptic EEG signals, characterized by strong spontaneity and complexity, a novel feature extraction approach based on Window Kullback-Leibler Divergence (WKLD) is proposed, coupled with discrete wavelet analysis for EEG sig...Show More

WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG

Haoyang Cai;Ying Yan;Guanting Liu;Jun Cai;Adrian David Cheok;Na Liu;Chengcheng Hua;Jing Lian;Zhiyong Fan;Anqi Chen

Year: 2024 | Volume: 12 | Journal Article |

Optimal Design and Control of a Decoupled Multifrequency Multiphase Wireless Switched Reluctance Motor Drive System

Jun Cai;Bin Li;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 8 | Journal Article |

Cited by: Papers (4)

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In this article, the optimal design and control of a decoupled multifrequency multiphase wireless switched reluctance motor (SRM) drive system are presented. In the proposed system, the single or dual-phase windings of the SRM can be selectively excited by varying the operating frequencies of the inverter. The overall design procedure of the system topology is presented to achieve the stable opera...Show More

Optimal Design and Control of a Decoupled Multifrequency Multiphase Wireless Switched Reluctance Motor Drive System

Jun Cai;Bin Li;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 8 | Journal Article |

Magnetic Coupled Wireless Motor Driving Systems–An Overview

Jun Cai;Bin Li;Wei Hua;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 6 | Journal Article |

Cited by: Papers (6)

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Magnetic coupled wireless motor (MC-WM) drive technology embodies the deep integration of magnetic coupled wireless power transfer technology and motor drive technology, which is currently a forward-looking and challenging research direction in the field of motor system research. First, this article analyzes the basic operating mechanism of the MC-WM and classifies the topology design methods of t...Show More

Magnetic Coupled Wireless Motor Driving Systems–An Overview

Jun Cai;Bin Li;Wei Hua;Adrian David Cheok;Ying Yan;Xin Zhang

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 6 | Journal Article |

A Novel ResMTN-Based Methodology for HVAC AHU Fault Diagnosis

Ying Yan;Guanting Liu;Jun Cai;Edmond Qi Wu;Adrian David Cheok;Qiming Sun;Ming Li;Ying Zhou

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

Year: 2023 | Conference Paper |

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The Backpropagation Multidimensional Taylor Network (BP-MTN) classifier improved based on MTN may face issues such as overfitting and gradient vanishing when solving complex classification problems. To address these issues, this paper proposes a novel classifier, the Residual Multidimensional Taylor Network (ResMTN) classifier. The classifier introduces the idea of Residual Network (ResNet) in the...Show More

A Novel ResMTN-Based Methodology for HVAC AHU Fault Diagnosis

Ying Yan;Guanting Liu;Jun Cai;Edmond Qi Wu;Adrian David Cheok;Qiming Sun;Ming Li;Ying Zhou

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

Year: 2023 | Conference Paper |

VR Vertigo Level Classification Using a Multi-Dimensional Taylor Network Approach

Ziyan Wang;Ying Yan;Jun Cai;Chengcheng Hua;Na Liu;Qi Chen;Ming Li;Danxu Zhang

Year: 2023 | Volume: 11 | Journal Article |

Cited by: Papers (1)

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Users often experience motion sickness symptoms after using Virtual Reality (VR) systems, which can jeopardize their health. If we can rapidly diagnose the vertigo levels of VR users and dynamically take anti-motion sickness measures based on the levels, such as adjusting the movement of objects in VR glasses, adding visual reference points, and changing image brightness, contrast, and refresh rat...Show More

VR Vertigo Level Classification Using a Multi-Dimensional Taylor Network Approach

Ziyan Wang;Ying Yan;Jun Cai;Chengcheng Hua;Na Liu;Qi Chen;Ming Li;Danxu Zhang

Year: 2023 | Volume: 11 | Journal Article |

A Backpropagation Multidimensional Taylor Network Model for Measured 3-D Data Fitting

Jun Cai;Yun Tang;Guolong Yang;Ying Yan;Xin Zhang

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Cited by: Papers (3)

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To solve the nonlinear fitting problem of 3-D data, an improved multidimensional Taylor network (MTN) structure based on the error backpropagation (BP) algorithm is proposed in this article. Compared to the traditional MTN, the so-called BP-MTN has three main characteristics: 1) an additional full connection layer is added after the same dimension output layer of the traditional MTN to describe th...Show More

A Backpropagation Multidimensional Taylor Network Model for Measured 3-D Data Fitting

Jun Cai;Yun Tang;Guolong Yang;Ying Yan;Xin Zhang

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

A Hybrid Sensorless Starting Strategy for SRM With Fault-Tolerant Capability

Jun Cai;Xin Zhang;Xu Peng;Ying Yan;Zhiquan Deng

IEEE Transactions on Transportation Electrification

Year: 2023 | Volume: 9, Issue: 2 | Journal Article |

Cited by: Papers (9)

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The electromagnetic characteristics of the switched reluctance motors (SRMs) appear highly nonlinear due to the high phase current in the starting stage. Thus, the key issue of developing a reliable sensorless starting strategy is to seek an effective way to avoid the saturation effects on position estimation. In this article, a hybrid sensorless starting strategy with fault-tolerant capability is...Show More

A Hybrid Sensorless Starting Strategy for SRM With Fault-Tolerant Capability

Jun Cai;Xin Zhang;Xu Peng;Ying Yan;Zhiquan Deng

IEEE Transactions on Transportation Electrification

Year: 2023 | Volume: 9, Issue: 2 | Journal Article |

A Reliable Sensorless Starting Scheme for SRM With Lowered Pulse Injection Current Influences

Jun Cai;Ying Yan;Wan Zhang;Xingqiang Zhao

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Cited by: Papers (33)

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In this article, a synthetic sensorless starting scheme, which is based on pulse injection technology, is proposed for switched reluctance motor (SRM) drives to enhance the starting reliability. This scheme consists of a set of sensorless position estimation algorithms for different stages of SRM starting. In order to start the SRM from standstill stage smoothly, the initial driving phase is selec...Show More

A Reliable Sensorless Starting Scheme for SRM With Lowered Pulse Injection Current Influences

Jun Cai;Ying Yan;Wan Zhang;Xingqiang Zhao

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Fault Prognosis of Key Components in HVAC Air-Handling Systems at Component and System Levels

Ying Yan;Peter B. Luh;Krishna R. Pattipati

IEEE Transactions on Automation Science and Engineering

Year: 2020 | Volume: 17, Issue: 4 | Journal Article |

Cited by: Papers (24)

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Fault prognosis of the air-handling systems, which are the key subsystems of heating, ventilation, and air conditioning systems, allows system operators to know the remaining useful life (RUL), thus preventing unexpected breakdowns and reducing the operational and maintenance costs. In this article, a new hidden semi-Markov model-based method is developed. In the method, only relevant state-transi...Show More

Fault Prognosis of Key Components in HVAC Air-Handling Systems at Component and System Levels

Ying Yan;Peter B. Luh;Krishna R. Pattipati

IEEE Transactions on Automation Science and Engineering

Year: 2020 | Volume: 17, Issue: 4 | Journal Article |

Fault Diagnosis of Components and Sensors in HVAC Air Handling Systems With New Types of Faults

Ying Yan;Peter B. Luh;Krishna R. Pattipati

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (20)

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Air handling systems are the key sub-systems of heating ventilation and air conditioning (HVAC) systems. They condition and deliver air to satisfy human thermal comfort requirements and provide acceptable indoor air quality. Faults in their components and sensors may lead to high-energy consumption, poor thermal comfort, and unacceptable indoor air quality. Additionally, new types of faults may fa...Show More

Fault Diagnosis of Components and Sensors in HVAC Air Handling Systems With New Types of Faults

Ying Yan;Peter B. Luh;Krishna R. Pattipati

Year: 2018 | Volume: 6 | Journal Article |

Fault diagnosis of HVAC: Air delivery and terminal systems

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2017 13th IEEE Conference on Automation Science and Engineering (CASE)

Year: 2017 | Conference Paper |

Cited by: Papers (1)

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Supply/return fans and Variable Air Volume (VAV) boxes are key components of Heating Ventilation and Air Conditioning (HVAC) systems. Fans deliver conditioned air to rooms and VAV boxes control airflow rates to satisfy human thermal comfort and ventilation requirements. Faults in these components and their sensors may lead to high energy consumption and poor thermal comfort. Identifying failure mo...Show More

Fault diagnosis of HVAC: Air delivery and terminal systems

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2017 13th IEEE Conference on Automation Science and Engineering (CASE)

Year: 2017 | Conference Paper |

Fault Diagnosis of HVAC Air-Handling Systems Considering Fault Propagation Impacts Among Components

Ying Yan;Peter B. Luh;Krishna R. Pattipati

IEEE Transactions on Automation Science and Engineering

Year: 2017 | Volume: 14, Issue: 2 | Journal Article |

Cited by: Papers (38)

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In a heating, ventilation, and air conditioning system, an air-handling system is a key module. Its components (e.g., air handling unit, air-mixing box, and fans), linked through airflows, condition air to a desired temperature and/or humidity based on comfort or controlled environment requirements. Identifying failure modes and estimating their severities allow maintenance crews to know which fau...Show More

Fault Diagnosis of HVAC Air-Handling Systems Considering Fault Propagation Impacts Among Components

Ying Yan;Peter B. Luh;Krishna R. Pattipati

IEEE Transactions on Automation Science and Engineering

Year: 2017 | Volume: 14, Issue: 2 | Journal Article |

Fault diagnosis of HVAC: Air Handling Units and Variable Air Volume boxes

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2016 IEEE International Conference on Automation Science and Engineering (CASE)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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As major modules of Heating, Ventilation and Air Conditioning (HVAC) systems, Air Handling Units (AHUs) and Variable Air Volume (VAV) boxes are used to condition and circulate air to rooms. To save energy and satisfy human comfort and ventilation requirements, accurately and timely diagnosing their faults is critical. The problem, however, is challenging since (1) Hidden Markov Models (HMMs) can c...Show More

Fault diagnosis of HVAC: Air Handling Units and Variable Air Volume boxes

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2016 IEEE International Conference on Automation Science and Engineering (CASE)

Year: 2016 | Conference Paper |

Chiller plant fault diagnosis considering fault propagation

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2015 International Conference on Complex Systems Engineering (ICCSE)

Year: 2015 | Conference Paper |

Cited by: Papers (1)

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As a major subsystem of Heating, Ventilation and Air Conditioning systems (HVACs), a chiller plant provides chilled water to remove heat from buildings. Faults in a chiller plant can result in high energy consumption, and their early diagnoses, including failure modes and fault severities, will lead to significant energy savings. Fault diagnosis, however, is challenging since (1) measured variable...Show More

Chiller plant fault diagnosis considering fault propagation

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2015 International Conference on Complex Systems Engineering (ICCSE)

Year: 2015 | Conference Paper |

A fault diagnosis method for HVAC Air Handling Units considering fault propagation

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2015 IEEE International Conference on Automation Science and Engineering (CASE)

Year: 2015 | Conference Paper |

Cited by: Papers (4)

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As a major component of Heating, Ventilation and Air Conditioning systems (HVACs), an Air Handling Unit (AHU) is used to condition and circulate air to rooms to satisfy human comfort requirements. In an AHU, cooling coil and supply air fan are two key components, where a cooling coil reduces air temperature and a fan delivers air to rooms. The fan and the cooling coil are interconnected, and a fau...Show More

A fault diagnosis method for HVAC Air Handling Units considering fault propagation

Ying Yan;Peter B. Luh;Krishna R. Pattipati

2015 IEEE International Conference on Automation Science and Engineering (CASE)

Year: 2015 | Conference Paper |

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