An Optimized Intelligent Technique for Bearing Fault Diagnosis using Motor Current Signal Analysis-Reference-Cited by-同舟云学术

An Optimized Intelligent Technique for Bearing Fault Diagnosis using Motor Current Signal Analysis

Published:2022-05-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)
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Author:

Xinjie Jiang¹,Malik Hasmat²,Panda Sanjib Kumar¹

Affiliation:

1. National University of Singapore,Department of Electrical and Computer Engineering,Singapore

2. Berkeley Education Alliance for Research in Singapore (a research center of the University of California, USA),Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9806820/9806821/09807128.pdf?arnumber=9807128

Reference10 articles.

1. Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis

2. An intelligent bearing fault diagnosis system: A review

3. Analysis of MLP model on WSN localization data by using various training functions

4. Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classification;lessmeier;European Conference of PHM Society,0

5. From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

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1. Motor Bearing Fault Diagnosis Based on Current Signal Using Time–Frequency Channel Attention;World Electric Vehicle Journal;2024-06-24

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3. Data Reliability Analysis for Early Fault Diagnosis of Air Handling Unit (AHU);Lecture Notes in Electrical Engineering;2024

4. Simplified Predictive Strategy of Mechanical Life Cycle Model in Three-Phase Asynchronous Motor;2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE);2023-10-19