Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges

被引：0

作者：

Pastura, Marco ^{[1
]}

Zigliotto, Mauro ^{[1
]}

机构：

[1] Univ Padua, Dept Engn & Management DTG, I-36100 Vicenza, Italy

来源：

ENERGIES | 2024年 / 17卷 / 21期

关键词：

fault detection; review; electric vehicle; traction application; condition monitoring; machine learning; permanent magnet machines; induction machines; multi-phase machines; OPEN-CIRCUIT FAULTS; OPEN-SWITCH FAULT; INDUCTION-MOTOR; DEMAGNETIZATION FAULT; WAVELET TRANSFORM; INTERTURN FAULTS; TURN FAULTS; ROTOR FAULT; STATOR; ECCENTRICITY;

D O I：

10.3390/en17215440

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The widespread diffusion of electric vehicles poses new challenges in the field of fault diagnostics. Past studies have been focused mainly on machines designed for industrial applications, where the operating conditions and requirements are significantly different. This work presents a review of the most recent studies about fault diagnosis techniques in electrical machines feasible for traction applications, with a focus on the most adopted approaches of the last years and on the latest trends. Considerations about their applicability for electric vehicle purposes, along with some areas that require further research, are also provided.

引用

页数：20

共 117 条

[1]

Abdellatif S., 2019, P 3 INT C ELECT SCI, DOI [10.1109/CISTEM.2018.8613538, DOI 10.1109/CISTEM.2018.8613538]

[2] Turn to Turn Fault Detection, Discrimination, and Faulty Region Identification in the Stator and Rotor Windings of Synchronous Machines Based on the Rotational Magnetic Field Distortion [J].

Afrandideh, Saeed ;

Milasi, Mostafa Eshaghi ;

Haghjoo, Farhad ;

Cruz, Sergio M. A. .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2020, 35 (01) :292-301

[3] Broken Rotor Bar and Rotor Eccentricity Fault Detection in Induction Motors Using a Combination of Discrete Wavelet Transform and Teager-Kaiser Energy Operator [J].

Agah, Gholam Reza ;

Rahideh, A. ;

Khodadadzadeh, Hosein ;

Khoshnazar, Seyed Moslehoddin ;

Kia, Shahin Hedayati .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2022, 37 (03) :2199-2206

[4]

Akay Ali, 2020, CES Transactions on Electrical Machines and Systems, V4, P349, DOI 10.30941/CESTEMS.2020.00042

[5] Recent Industrial Applications of Infrared Thermography: A Review [J].

Alfredo Osornio-Rios, Roque ;

Alfonso Antonino-Daviu, Jose ;

de Jesus Romero-Troncoso, Rene .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) :615-625

[6] Mixed Eccentricity Fault Detection for Induction Motors Based on Time Synchronous Averaging of Vibration Signals [J].

Alimardani, Ramin ;

Rahideh, Akbar ;

Hedayati Kia, Shahin .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (03) :3173-3181

[7] Unsupervised Feature-Construction-Based Motor Fault Diagnosis [J].

Amarbayasgalan, Tsatsral ;

Ryu, Keun Ho .

SENSORS, 2024, 24 (10)

[8] Fault Diagnosis in PMSM with Partitioned Stator Windings-Part I: Experimental Validation with Static Eccentricity [J].

Armando Mazzoletti, Manuel ;

Ruben Bossio, Guillermo ;

Bossio, Jose M. ;

Leidhold, Roberto .

2020 IEEE CONGRESO BIENAL DE ARGENTINA, ARGENCON, 2020,

[9] Broken Bar Fault Detection and Diagnosis Techniques for Induction Motors and Drives: State of the Art [J].

Atta, Mohamed Esam El-Dine ;

Ibrahim, Doaa Khalil ;

Gilany, Mahmoud, I .

IEEE ACCESS, 2022, 10 :88504-88526

[10] Detection and Diagnosis of Bearing Faults Under Fixed and Time-Varying Speed Conditions Using Persistence Spectrum and Multi-Scale Structural Similarity Index [J].

Atta, Mohamed Esam El-Dine ;

Ibrahim, Doaa Khalil ;

Gilany, Mahmoud, I .

IEEE SENSORS JOURNAL, 2022, 22 (03) :2637-2646

← 1 2 3 4 5 6 7 8 9 10 →