Induction motor fault detection based on multi‐sensory control and wavelet analysis-Reference-Cited by-同舟云学术

Induction motor fault detection based on multi‐sensory control and wavelet analysis

Published:2020-08-14 Issue:11 Volume:14 Page:2051-2061
ISSN:1751-8660
Container-title:IET Electric Power Applications
language:en
Short-container-title:IET Electric Power Applications

Author:

Abubakar Ukashatu¹²^ORCID,Mekhilef Saad¹³⁴^ORCID,Gaeid Khalaf S.⁵,Mokhlis Hazlie²,Al Mashhadany Yousif I.⁶

Affiliation:

1. Power Electronics and Renewable Energy Research Laboratory (PEARL)Department of Electrical EngineeringUniversity of Malaya 50603 Kuala LumpurMalaysia

2. Department of Electrical EngineeringUniversity of Malaya50603Kuala LumpurMalaysia

3. Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah21589Saudi Arabia

4. School of Software and Electrical EngineeringSwinburne UniversityVictoriaAustralia

5. Department of Electrical EngineeringTikrit UniversityTikrit CityIraq

6. Department of Electrical EngineeringUniversity of AnbarRamadi CityIraq

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-epa.2020.0030

Reference35 articles.

1. Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

2. Fault-Tolerant Control of PMSM With Inter-Turn Short-Circuit Fault

3. A Fault-Diagnosis and Fault-Tolerant Control Scheme for Flying Capacitor Multilevel Inverters

4. A Novel Self-Tuning Fuzzy Logic Controller Based Induction Motor Drive System: An Experimental Approach

5. Fault Diagnosis of Induction Motor Using Convolutional Neural Network

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