Article
Engineering, Electrical & Electronic
Weiwei Zhang, Yigang He, Jianfei Chen, Bolun Du
Summary: This article presents a unified open-circuit FD and CM method for the 3L-T inverter based on the proposed on-state voltage measurement circuit (OVMC). The designed OVMC separates all the OVs and actual switching state information with a few devices and terminals. The proposed method for fault locating requires only a straightforward lookup table without complicated feature extraction and threshold setting steps, and the FD results would help to correct the OV distribution.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Jun-Hyuk Im, Jun-Kyu Kang, Yeol-Kyeong Lee, Jin Hur
Summary: This paper proposes a method of eliminating common-mode voltage (CMV) and shaft voltage in dual three-phase motors using the carrier phase shift of space vector pulse width modulation (SVPWM), and verifies the feasibility through experiments.
Article
Engineering, Electrical & Electronic
Weiwei Zhang, Yigang He, Xiao Wang, Jianfei Chen
Summary: This paper proposes a comprehensive method based on modeling to achieve online switch fault diagnosis and capacitor condition monitoring in order to ensure the reliability of the three-level T-type (3L-T) inverter. The inherent harmonic components of the dc link under normal and open-circuit fault conditions are analyzed, and a capacitor current reconstruction method is designed. A comprehensive framework for fault diagnosis and condition monitoring is proposed, which includes signal injection, extra hardware, 3L-T model, fault diagnosis, and condition monitoring submodules. Experimental results demonstrate that the proposed comprehensive method achieves high estimation accuracy, fast dynamic response, and better fault diagnosis performance under various conditions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Vikas Singh, Nishchal K. Verma
Summary: In recent years, intelligent condition-based monitoring of rotary machinery systems has become a major research focus. Using mRMR and deep learning models can improve fault diagnostics performance by reducing data redundancy and decreasing data dependency for training the model. The proposed frameworks show better diagnostic accuracy and faster processing of data with many features.
IEEE SENSORS JOURNAL
(2021)
Article
Energy & Fuels
Sebastian Berhausen, Tomasz Jarek
Summary: The article introduces a new method for counteracting shaft voltages and currents in AC electrical machines, utilizing an auxiliary winding in the stator. Laboratory tests and simulations were conducted to confirm the functionality of the auxiliary winding and its impact on induced shaft voltages. Additionally, the article reviews damage to electrical machines, bearing defects, and mechanisms of generating shaft voltages and currents, along with counteracting methods.
Article
Engineering, Mechanical
Minmin Xu, Yaoyao Han, Xiuquan Sun, Yimin Shao, Fengshou Gu, Andrew D. Ball
Summary: Internal radial clearance is a key factor influencing bearing fatigue life, and monitoring vibration can effectively indicate bearing wear and provide sufficient maintenance time. The study presents a nonlinear gear-shaft-bearing-housing vibration model to investigate the influence of dynamically changing radial clearances under gear meshing forces.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Engineering, Electrical & Electronic
Kotb B. Tawfiq, Mehmet Guelec, Peter Sergeant
Summary: This paper presents a comprehensive study on bearing current and shaft voltage in inverter-fed electric machines. It discusses motor failure processes, sources and definitions of bearing current and shaft voltage, different types of bearing currents, as well as measurement approaches and modeling. It also addresses various mitigation techniques and investigates pulse width modulation techniques to reduce bearing current and shaft voltage.
Article
Computer Science, Information Systems
Yu Luo, Li Zhang, Chunyang Chen, Kang Li, Tianjian Yu, Kaidi Li
Summary: This paper presents a method for detecting and locating single and double switch open circuit faults in three phase voltage source inverters based on current model parameter estimation. The method utilizes the measurement of inverter currents to build a dynamic model and uses a fast recursive algorithm to estimate the model parameters. A simplified K-Nearest Neighbour algorithm is employed to detect the closest distance between the monitored fault diagnosis vectors and the normal vectors. A simple and effective function is designed to locate the faulty switches based on the analysis of the identified vectors and those in the base matrix.
Article
Engineering, Multidisciplinary
Zewen Zhou, Bingyan Chen, Baoshan Huang, Weihua Zhang, Fengshou Gu, Andrew D. Ball, Xue Gong
Summary: This paper proposes a novel blind deconvolution method called maximum negative entropy deconvolution (MNED) for detecting repetitive transients caused by bearing faults. MNED optimizes the filter coefficients by maximizing negative entropy instead of kurtosis, and resolves the instability and high computational time issues of existing blind deconvolution methods. Experimental results demonstrate the effectiveness of MNED in enhancing repetitive transients and its advantages in fault detection and computational efficiency compared to existing methods.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Xi Gu, Yaoxiang Yu, Liang Guo, Hongli Gao, Ming Luo
Summary: This paper proposes a cosine similarity-based self-attention Wasserstein generative adversarial network method to solve the bearing fault diagnosis problem in imbalanced datasets, where most intelligent methods tend to misclassify minority data. The proposed method preprocesses the original data, applies CSWGAN-GP to generate new samples, and performs bearing fault diagnosis on the rebalanced dataset.
Article
Engineering, Electrical & Electronic
Zhenfeng Qin, Yu Wang, Zhipeng Yuan, Di Yu, Zhijie Xie
Summary: This study develops a triboelectric linear bearing sensor (TLBS) and integrates it into the linear bearing's noload outer circulation track area while maintaining its structural and functional integrity. The output characteristics of the TLBS and its variation with external load resistance are measured, and the influences of the structure design on its output characteristics are discussed. The sensing characteristics experiments show that TLBS can detect the displacement and velocity of linear bearings while achieving high classification accuracy in fault monitoring.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Engineering, Multidisciplinary
Hongchun Sun, Sheng Gao, Sihan Ma, Senmiao Lin
Summary: Fault diagnostic technique with high adaptability to industrial environments is crucial for engineering. This study proposes a novel model, called Fault Response Network (FRN), for diagnosing faults under variable conditions based on the bearing fault mechanism. By calculating fault features that remain unchanged with working conditions and designing a Fault Response Convolutional Layer (FRCL) based on these features, the FRN achieves high diagnostic accuracy even when there are significant changes in working conditions without samples from unknown conditions.
Article
Computer Science, Artificial Intelligence
Baokun Han, Shanshan Ji, Jinrui Wang, Huaiqian Bao, Xingxing Jiang
Summary: A new intelligent fault diagnosis method based on deep learning is proposed in this paper, which uses sparse filtering and batch normalization techniques to address the impact of speed fluctuation on fault diagnosis. The effectiveness and superiority of the method are verified through experiments.
Article
Automation & Control Systems
Wei Fan, Zhenqiang Chen, Yongxiang Li, Feng Zhu, Min Xie
Summary: Condition monitoring is crucial for ensuring the reliability and safety of rotating machinery. The construction of a health index (HI) is essential for detecting faults and assessing degradation. However, existing classical HIs have limitations in dealing with strong noise and incipient faults. To address these shortcomings, this paper proposes a reinforced noise resistant correlation method that effectively suppresses noise interference and detects incipient faults.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Chukwuemeka N. N. Ibem, Mohamed E. E. Farrag, Ahmed A. A. Aboushady, Sherif M. M. Dabour
Summary: This study presents a novel integration of signal and data-driven fault-diagnosis approaches to detect open-circuit switch faults in three-phase inverters. The proposed technique uses the average root-mean-square (RMS) ratio of the phase current as the key extraction feature, which can estimate the fault types and faulty switches irrespective of changes in the running load. Ensemble-bagged machine learning classification is used to accurately predict the faulty switch in the inverter.
Article
Engineering, Multidisciplinary
Peyman Haghgooei, Ehsan Jamshidpour, Noureddine Takorabet, Davood Arab-Khaburi, Babak Nahid-Mobarakeh
Summary: This article proposes an online method to find the magnetic model of a wound rotor synchronous machine (WRSM). The method estimates the stator flux to identify the magnetic model and conducts simulations and experimental tests for validation.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Phatiphat Thounthong, Pongsiri Mungporn, Serge Pierfederici, Damien Guilbert, Noureddine Takorabet, Babak Nahid-Mobarakeh, Yihua Hu, Nicu Bizon, Yigeng Huangfu, Poom Kumam, Piyabut Burikham
Summary: This study presents the output DC bus voltage stabilization and current sharing mechanism of a multiphase parallel-interleaved FC boost converter, ensuring system stability through the use of a robust controller. Experimental results demonstrate the effectiveness of the designed controller on a 2.5 kW prototype FC converter system.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Multidisciplinary
Saleh A. Saleh, Emre Ozkop, Mustafa S. Ayas, Kashem M. Muttaqi, Babak Nahid-Mobarakeh
Summary: This article develops a survivability-based protection method for three-phase induction motor drive systems, which can detect, identify, and respond to unsurvivable dynamic events accurately and effectively, preventing damage to different components of the system.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Peyman Haghgooei, Adrien Corne, Ehsan Jamshidpour, Noureddine Takorabet, Davood Arab Khaburi, Babak Nahid-Mobarakeh
Summary: Reducing manufacturing costs and increasing reliability are two major issues in the automotive industry. This article discusses a control method for wound rotor synchronous machines used in hybrid electric vehicles, which allows for estimation and control of stator currents without using any current sensors. By utilizing a flux-based model and Luenberger observer, the proposed method improves control precision and dynamic performance.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Automation & Control Systems
Sumedh B. Dhale, Babak-Nahid Mobarakeh, Shamsuddeen Nalakath, Ali Emadi
Summary: This article introduces a digital sliding mode based robust model-free pulsewidth mode current control method for switched reluctance machine (SRM) drives. The proposed controller eliminates the need for phase inductance or flux-linkage identification, achieving efficient computational performance with accurate tracking of the reference phase current profile.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Review
Energy & Fuels
Ihab Assoun, Lahoucine Idkhajine, Babak Nahid-Mobarakeh, Farid Meibody-Tabar, Eric Monmasson, Nicolas Pacault
Summary: This paper presents a speed sensorless control of a five-phase PMSM in healthy operation and under the Open-Phase Fault on any phase of the machine. It proposes an adapted Active Fault Tolerant Control to ensure continuous service and acceptable control performances without requiring hardware rearrangement of the power architecture. The motor rotation speed and position are estimated using a Back-EMF observer based on a mathematical model of the motor.
Article
Engineering, Multidisciplinary
S. A. Saleh, E. Ozkop, B. Nahid-Mobarakeh, A. Rubaai, K. M. Muttaqi, S. Pradhan
Summary: This paper develops a survivability-based protection for three phase permanent magnet synchronous motor drives against severe dynamic events. The proposed protection method uses a survivability index GPMSM to accurately detect, identify, and respond to dynamic events that the motor drives may not survive. Simulation and experimental testing show the effectiveness and accuracy of this protection method in preventing damage to different components of the motor drives.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Editorial Material
Engineering, Electrical & Electronic
Kiruba Sivasubramaniam Baran, Kaushik Rajashekara, Philip Krein, Tao Yang, Babak Nahid-Mobarakeh
Summary: Air transportation accounts for a significant portion of carbon emissions worldwide, and electrification of air transport is crucial for global carbon reduction. The United Nations Climate Change Conference has set goals of net zero emissions and limiting global warming to 1.5 degrees Celsius. Without concerted action, energy use and carbon emissions in the transportation industry will substantially increase. Development and implementation of energy-efficient technologies with reduced environmental impact are of utmost importance.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Automation & Control Systems
Dianxun Xiao, Jin Ye, Gaoliang Fang, Zekun Xia, Haomin Li, Xueqing Wang, Babak Nahid-Mobarakeh, Ali Emadi
Summary: This article proposes a new pulse injection scheme to reduce the induced current in low-speed position-sensorless switched reluctance motor (SRM) drives. A constant injection amplitude is traditionally used for position estimation, but the induced current in idle phases varies nonlinearly with the rotor position and has a significant magnitude. To mitigate this problem, an injection amplitude regulator based on terminal sliding-mode control is introduced. It adjusts the amplitude of pulse voltages online through a nonlinear control law to maintain the induced current at a minimal level throughout the idle-phase period.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Zisui Zhang, Sumedh Dhale, Babak Nahid-Mobarakeh, Ali Emadi
Summary: An adaptive voltage controller scheme is proposed in this paper for flux-weakening control in Permanent Magnet Synchronous Machine (PMSM) drives under the six-step operation. The presented technique utilizes voltage feedback control to fully utilize the DC link voltage, thus extending the maximum torque range in the flux-weakening region. The behavior of the voltage controller is analyzed under the modulation delay and nonlinear gain characteristics of six-step operation, and compensatory control action is generated with varying voltage feedback gains based on the magnitude difference between voltage vectors to achieve a greater torque range and higher efficiency in the flux-weakening zone. The effectiveness of the proposed technique is verified through simulation and experimental results on a PMSM drive platform.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Peyman Haghgooei, Ehsan Jamshidpour, Adrien Corne, Noureddine Takorabet, Davood Arab Khaburi, Lotfi Baghli, Babak Nahid-Mobarakeh
Summary: This paper presents a new online method based on low frequency signal injection to estimate the stator resistance of a Wound Rotor Synchronous Machine (WRSM). The proposed estimator provides a parameter-free method for estimating the stator resistance. In this method, a low frequency sinusoidal current is injected in the d axis of the stator current to produce a sinusoidal flux in the stator, and the phase difference between the generated sinusoidal flux and the injected sinusoidal current is used to estimate the stator resistance. Validation was done through simulations and experimental tests.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Automation & Control Systems
Gaoliang Fang, Filipe P. Scalcon, Cesar J. Volpato Volpato Filho, Dianxun Xiao, Babak Nahid-Mobarakeh, Ali Emadi
Summary: A unified unsaturated-reluctance-based wide speed range sensorless control method is proposed in this article. It analyzes the sensitivity of the estimated position to the reluctance calculation error and identifies feasible regions with low sensitivity and low saturation risk. A simple second-order rational expression is used to model the unsaturated reluctance curve and calculate the rotor position analytically. The proposed method is verified using a 5.1 kW four-phase 8/6 SRM, and experimental results demonstrate its effectiveness.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Review
Computer Science, Information Systems
Filipe P. Scalcon, Gaoliang Fang, Cesar J. Volpato Filho, Hilton A. Grundling, Rodrigo P. Vieira, Babak Nahid-Mobarakeh
Summary: This article provides a state of the art review of switched reluctance generators (SRGs) in wind power applications. It covers the fundamentals of SRGs, two categories of firing angle control, voltage and power control strategies, as well as grid-tied SRG-based wind energy conversion systems. The article concludes with an outline of the topics discussed and suggestions for future investigation.
Article
Green & Sustainable Science & Technology
Songklod Sriprang, Nitchamon Poonnoy, Babak Nahid-Mobarakeh, Noureddine Takorabet, Nicu Bizon, Pongsiri Mungporn, Phatiphat Thounthong
Summary: This paper presents model-free control approaches for permanent magnet-assisted synchronous reluctance motors (PMa-SynRMs) drive. The proposed control technique improves the ability to determine the behavior of the state-variable system during both fixed-point and transient operations. Mathematical models of PMa-SynRM were developed in a linear model form to identify known and unknown parts. The intelligent proportional-integral (iPI) controller was used to correct modeling errors and uncertainties, achieving excellent results compared to traditional PI and model-based controls under transient operating conditions.
Review
Computer Science, Information Systems
Sumedh Dhale, Babak Nahid-Mobarakeh, Ali Emadi
Summary: Switched Reluctance Machine (SRM) presents a challenge for digital current regulators due to its highly nonlinear magnetic characteristics, surpassing the traditional limits on closed-loop bandwidth for fast tracking performance. The induced emf from matched disturbance becomes more significant as operating speed increases.
