Rotor Fault Detection in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transient

被引:0
|
作者
Garcia-Calva, Tomas A. [1 ]
Morinigo-Sotelo, Daniel [2 ]
Garcia-Perez, Arturo [1 ]
Romero-Troncoso, R. de J. [3 ]
机构
[1] Univ Guanajuato, Dept Elect Engn, Guanajuato 36700, Mexico
[2] Univ Valladolid, Dept Elect Engn, Valladolid 47002, Spain
[3] Autonomous Univ Queretaro, HSPdigital Res Grp, Fac Engn, San Juan Del Rio 76806, Mexico
关键词
Fault detection; Fault location; Induction Motors; Signal processing algorithms; Time Frequecny-domain analysis; Rotating machines; Spectral analysis; BAR DETECTION; DRIVES; DIAGNOSIS; POINT;
D O I
10.1109/demped.2019.8864862
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
Fault detection of rotatory machinery under non-stationary conditions is a topic increasing importance in industrial applications. Induction motors are not the exception and monitoring electric motor current has become a standard option to determine the health of several motor parts. However, in the inverter-fed motor case, the health condition of a motor is difficult to diagnose from electric motor current in certain cases. This paper explores the analysis of instantaneous speed during startup transient operation as a way to enhance the reliability for rotor fault detection. An experimental study of a rotor fault time-frequency evolution is presented. Results are promising and show high potential to overcome some important drawbacks of the classical current signature analysis to track fault-related signatures.
引用
收藏
页码:297 / 302
页数:6
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