A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets
Fault diagnosis of geared drive-train systems is usually based on vibration monitoring. However, such vibration based techniques are difficult to implement in planetary gearboxes due to the complex nature of measured vibration spectrum. Motor current signal analysis (MCSA) provides an alternative an...
Saved in:
Main Authors: | Hong, Liu, Dhupia, Jaspreet Singh |
---|---|
其他作者: | School of Mechanical and Aerospace Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/98167 http://hdl.handle.net/10220/18022 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Investigation on stator winding faults of induction motor
由: Qamarul Ramlan
出版: (2011) -
Modeling and analysis based techniques for fault diagnosis of planetary gearboxes
由: Hong, Liu
出版: (2014) -
Feature knowledge based fault detection of induction motors through the analysis of stator current data
由: YANG, Ting, et al.
出版: (2016) -
Model-based diagnosis and prognosis of induction motors under stator winding fault
由: Nguyen, Viet Hung
出版: (2018) -
Planetary Atmospheric Electricity
出版: (2017)