Article
Engineering, Multidisciplinary
Hassan Baghgar Bostan Abad, Mansour Ojaghi, Asghar Taheri
Summary: This paper investigates stator interturn faults in six-phase induction motors using a winding function approach to model and extract efficient fault indices for detection and severity evaluation. The results show that these indices are sensitive to faults and almost unaffected by load torque changes.
Article
Computer Science, Information Systems
Bilal Asad, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassolkin, Huynh Van Khang, Payam Shams Ghahfarokhi, Muhammad U. Naseer, Muhammad N. Iqbal
Summary: This paper presents a discrete winding function analysis (DWFA) based approach for modeling skewed rotor cage-type induction motors with minimal simulation time, which can simulate the majority of faults in negligible time compared to finite element method (FEM) models.
Article
Engineering, Multidisciplinary
Matteo Carbonieri, Lino Di Leonardo, Nicola Bianchi, Marco Tursini, Marco Antonio Villani, Mircea Popescu
Summary: This article describes a methodology for calculating the cage losses due to air-gap spatial field harmonics in induction machines. The proposed method, based on finite element analysis, is faster and more accurate than the traditional time-domain analysis.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Automation & Control Systems
Younggon Ryu, Manje Yea, Jingook Kim, Ki Jin Han
Summary: This article presents an EMC-aware motor design method based on impedance prediction by dividing the stator structure into two-dimensional parts and extracting network parameters through EM simulations. The method has been validated using a parametric analysis platform and prototype motors, showing a reduction of up to 10 dB in common-mode current.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Tomasz Drabek
Summary: This paper presents the results of load capacity calculations for three-phase squirrel-cage induction motors supplied with distorted voltage with rotating harmonics. The calculations were made based on a commonly used model of an induction machine. The study accurately determined the parameters of the equivalent circuit of each motor, which sets it apart from many other papers. The results show discrepancies between the calculated derating curves and those provided in the IEC 60034-17 and NEMA MG1 standards.
Article
Energy & Fuels
Rahul R. Kumar, Giansalvo Cirrincione, Maurizio Cirrincione, Andrea Tortella, Mauro Andriollo
Summary: This article presents a two-stage fault detection and classification scheme specifically designed for rotating electrical machines, using new condition indicators specific to the frequency domain. The approach involves feature reduction using principal component analysis (PCA) and shallow neural networks for online detection and classification. Experimental validation on signals from grid and inverter fed induction motors confirms the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Chemistry, Analytical
Yucai Wu, Shuqiong Sun, Qingfei An, Xu Lie
Summary: This paper investigates the effects of broken rotor bar fault on the losses and efficiency of squirrel-cage induction motors. By conducting simulations and experiments, various losses and efficiency are obtained, and cost-effective measures for different degrees of fault are evaluated.
Article
Computer Science, Information Systems
Raya A. K. Aswad, Bassim M. H. Jassim, Bashar Zahawi, Shady Gadoue
Summary: This paper presents a hybrid diagnostic system that combines a model-based strategy with a fuzzy logic classifier to identify abnormal motor states due to single-phasing or inter-turn stator winding faults. The proposed system only requires voltage and current measurements to extract fault symptoms and can effectively diagnose faults even in the presence of unbalanced supply voltages and measurement noise.
Article
Engineering, Electrical & Electronic
Madhusudhana Reddy Barusu, Meganathan Deivasigamani
Summary: This study proposes a method using microwave signals and software low pass filters to analyze motor vibration faults, diagnosing bearing faults by capturing reflected signals and applying signal processing algorithms like Wavelet Transform. Experimental results demonstrate that this method can effectively identify various faults in the motor.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Ali Namdar, Haidar Samet, Mehdi Allahbakhshi, Mohsen Tajdinian, Teymoor Ghanbari
Summary: This paper presents an algorithm for detecting stator inter-turn faults in induction motors based on Kalman Filter, which shows robust performance, promising accuracy, and good speed of convergence, making it computationally efficient in various scenarios.
Article
Engineering, Multidisciplinary
Jaehoon Shin, Yonghyun Park, Sang Bin Lee
Summary: The article introduces a new method based on flux monitoring for reliable detection and classification of rotor cage and eccentricity faults, which is insensitive to load defects. Experimental results show that this method is more effective than MCSA in certain cases.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Automation & Control Systems
Magdiel Jimenez-Guarneros, Carlos Morales-Perez, Jose de Jesus Rangel-Magdaleno
Summary: This article proposes a new diagnosis methodology using maximal overlap discrete wavelet transform and a lightweight 1-D convolutional neural network architecture to detect mechanical and electrical faults in adjustable speed drive-powered induction motors. The proposed methodology achieves over 99% accuracy in experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Prashant Kumar, Ananda Shankar Hati
Summary: Deep learning is proposed for early fault detection in squirrel cage induction motors, achieving high accuracy and efficiency. The novel fault detection technique utilizes a dilated convolutional neural network-based model, showing promising results in the experimental work.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Energy & Fuels
Mauro Di Nardo, Alessandro Marfoli, Michele Degano, Chris Gerada, Wenliang Chen
Summary: This article discusses how to optimize the rotor slot geometry to meet different motor requirements, focusing on the relationship between optimization results and performance indexes, as well as the advantages and disadvantages of using a copper cage. The research results help optimize the performance of squirrel cage induction motors and open up new design approaches.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Energy & Fuels
Petr Kacor, Petr Bernat, Petr Moldrik
Summary: The high standard of quality required in the manufacture of squirrel-cage rotors for asynchronous motors means that any porosity in the rotor bars created during the die casting process must be detected early to avoid unnecessary production costs. This paper focuses on selecting an effective offline rotor diagnostic method for ongoing quality control. By integrating the chosen method into the manufacturing process and using 2D Finite Element Model simulations for sensor arrangement and calibration, a testing system with continuous measurement updates and graphical visualization of faults is developed for evaluating cast rotor quality.
Article
Engineering, Electrical & Electronic
Yassine Maouche, Mohamed El Kamel Oumaamar, Mohamed Boucherma, Abdelmalek Khezzar, Hubert Razik
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2019)
Article
Engineering, Mechanical
Abdenour Soualhi, Kamal Medjaher, Guy Celrc, Hubert Razik
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2020)
Article
Automation & Control Systems
Israel Zamudio-Ramirez, Jose Alfonso Antonino-Daviu, Roque A. Osornio-Rios, Rene de Jesus Romero-Troncoso, Hubert Razik
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Physics, Multidisciplinary
Tao Xie, Tianzhen Wang, Demba Diallo, Hubert Razik
Article
Energy & Fuels
Abdenour Soualhi, Bilal El Yousfi, Hubert Razik, Tianzhen Wang
Summary: This paper presents an innovative approach for monitoring bearing degradation, utilizing EMD and HT to extract temporal components of vibration signals and constructing self-adaptive filters. The method was validated on test benches and demonstrated effectiveness for ball and roller bearings monitoring.
Article
Energy & Fuels
Vicente Biot-Monterde, Angela Navarro-Navarro, Jose A. Antonino-Daviu, Hubert Razik
Summary: The study aims to confirm the reliability of the Stray Flux Analysis technique in soft-started induction motors, with results confirming its potential for detecting electromechanical failures in soft-started SCIMs.
Article
Engineering, Electrical & Electronic
Francois Tavernier, Riccardo Scorretti, Noel Burais, Hubert Razik, Jean-Yves Gaspard
Summary: The computation of the internal electric field induced in the human body by low-frequency power systems is time-consuming. However, a faster and more efficient method has been developed using a reduced basis and multipole approximation, allowing for nearly real-time calculation of the internal field. The results were validated against finite element method computation, showing significant improvements in computational efficiency and speed.
IEEE TRANSACTIONS ON MAGNETICS
(2021)
Review
Automation & Control Systems
Israel Zamudio-Ramirez, Roque Alfredo Osornio-Rios, Jose A. Antonino-Daviu, Hubert Razik, Rene de Jesus Romero-Troncoso
Summary: This article reviews the recent scientific contributions in the development and application of flux-based methods for monitoring rotating electric machines. It covers the main sensors used and signal processing techniques, focusing on the diagnosis of various faults in different types of motor and discussing open challenges.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Energy & Fuels
Meysam Yousefzadeh, Shahin Hedayati Kia, Mohammad Hoseintabar Marzebali, Davood Arab Khaburi, Hubert Razik
Summary: This article investigates the stator windings asymmetry fault in direct-drive permanent magnet synchronous generator (PMSG)-based wind turbines. A power-hardware-in-the-loop (P-H-i-L) system is developed to model and analyze the fault by utilizing a digital real-time simulation (DRTS) and mathematical models of turbine blades, wind generator, and diode rectifier. The study identifies the fault by analyzing the rectifier output voltage, rotor speed, and electrical signatures of the boost converter, and demonstrates the effectiveness of the proposed framework through comparisons with digital offline simulations.
Article
Energy & Fuels
Abdenour Soualhi, Mourad Lamraoui, Bilal Elyousfi, Hubert Razik
Summary: Prognostics and Health Management (PHM) is a field that focuses on the degradation mechanisms of systems to estimate their health status, anticipate failures and optimize maintenance. It utilizes methods, tools and algorithms for monitoring, anomaly detection, cause diagnosis, prognosis of remaining useful life (RUL) and maintenance optimization. PHM enables continuous health monitoring of systems and provides operators and managers with relevant information for decision-making.
Article
Engineering, Marine
Youming Cai, Mingzhu Li, Tianzhen Wang, Xiaohang Wang, Hubert Razik
Summary: This paper proposes an output power internal control strategy based on pseudo-tip-speed ratio and adaptive genetic algorithm (PTSR-AGA) to improve the anti-interference ability and reliability of tidal stream turbine (TST) systems. The proposed control scheme achieves higher power efficiency of energy capture and smoother power output at full range of tidal current speed.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Fan Zhang, Guangfeng Jin, Junchao Geng, Tianzhen Wang, Jingang Han, Hubert Razik, Yide Wang
Summary: This paper proposes a fault tolerance method based on average current compensation mode to eliminate the adverse effects of current sensor offset faults. The average current compensation mode reconstructs the fault features of the current sensor by compensating the average of the three-phase current to the alpha beta axis current. The data-driven method is used for fault diagnosis, and the corresponding fault tolerant control model is selected according to the diagnosis results. Experimental results demonstrate that the proposed strategy has good fault tolerance control performance and improves fault feature discrimination and diagnostic accuracy.
Article
Engineering, Multidisciplinary
Israel Zamudio-Ramirez, Juan Angel Ramirez-Nunez, Jose Antonino-Daviu, Roque A. Osornio-Rios, Alfredo Quijano-Lopez, Hubert Razik, Rene de Jesus Romero-Troncoso
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2020)
Proceedings Paper
Energy & Fuels
Juan A. Ramirez-Nunez, Jose Antonino-Daviu, Roque A. Osornio-Rios, Alfredo Quijano-Lopez, Hubert Razik, Rene J. Romero-Troncoso
PROCEEDINGS OF THE 2019 IEEE 12TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED)
(2019)
Article
Engineering, Multidisciplinary
D. Zurita, M. Delgado-Prieto, J. A. Carino, G. Clerc, J. A. Ortega, H. Razik, R. A. Osomio-Rios
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
(2019)
