Motor Watch - Motor Fault Signature Analysis

Motor Watch - Motor Fault Signature Analysis

Induction motors (IM) are the major components in 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...

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Bibliographic Details
Published in:2018 International Conference on Computing Sciences and Engineering (ICCSE) pp. 1 - 5
Main Authors: Al-Leythi, Haidy H., Mohammed, Zainab A., Hummes, Detlef, Hussain, Ghulam Amjad, Caironi, Cyrille, Fruth, Bernhard
Format: Conference Proceeding
Language:English
Published: IEEE 01-03-2018
Subjects:
Circuit faults
Induction motors
Monitoring
Neural networks
Neurons
Shafts
Vibrations
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Summary:Induction motors (IM) are the major components in 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.
DOI:10.1109/ICCSE1.2018.8374218