Various Indices for Diagnosis of Air-gap Eccentricity Fault in Induction Motor-A Review

3rd International Conference on Communication Systems

无线电电子学

Nikhil^1 ; Mathew, Lini^1 ; Sharma, Amandeep^1

Department of Electrical Engineering, NITTTR, Chandigarh, India^1

关键词: Air-gap eccentricity;    Artificial intelligence techniques;    Diagnostic features;    Eccentricity faults;    Fault detection and diagnosis;    Fault diagnostics;    Stability and reliabilities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/331/1/012032/pdf
DOI  :  10.1088/1757-899X/331/1/012032

来源: IOP

【 摘 要 】

From the past few years, research has gained an ardent pace in the field of fault detection and diagnosis in induction motors. In the current scenario, software is being introduced with diagnostic features to improve stability and reliability in fault diagnostic techniques. Human involvement in decision making for fault detection is slowly being replaced by Artificial Intelligence techniques. In this paper, a brief introduction of eccentricity fault is presented along with their causes and effects on the health of induction motors. Various indices used to detect eccentricity are being introduced along with their boundary conditions and their future scope of research. At last, merits and demerits of all indices are discussed and a comparison is made between them.