Motor Watch - Motor Fault Signature Analysis
| Author(s) |
Haidy H. Al-Leythi; Zainab A. Mohammed; Detlef Hummes; Ghulam Amjad Hussain; Cyrille Caironi; Bernhard Fruth |
| Related to |
Student |
Funded |
No |
| College |
CEAS |
Sponsor |
None |
| Course Name |
ELEG 475/480 |
Amount in KWD |
0 |
| Year |
2018 |
DOI |
NA |
Abstract:
Induction motors (IM) are the major components in the process industry. Any type of fault in IMs may lead to process interruption and economic losses. The objective of Motor Watch is to develop a unique method for online monitoring of induction motor, with different simulated failures on the mechanical part. The mechanical distortion is studied are shaft misalignment and unbalance. The main idea is to detect and analyze the fingerprints of various types of faults through an online monitoring system. The paper proposes detection and monitoring of distortions such as vibration and motor speed analysis. Through online monitoring, decisions can be made in real time after early detection of faults and notify the maintenance team for rectification or immediate actions.
Citation:
Al-Leythi, H. H., Mohammed, Z. A., Hummes, D., Hussain, G. A., Caironi, C., & Fruth, B. (2018, March). Motor Watch-Motor Fault Signature Analysis. In 2018 International Conference on Computing Sciences and Engineering (ICCSE) (pp. 1-5). IEEE. Kuwait.
Published Paper:
https://ieeexplore.ieee.org/abstract/document/8374218