Induction motor fault diagnosis using wavelets and coordinate transformations

2016 ◽  
Author(s):  
Avyner L. O. Vitor ◽  
Paulo R. Scalassara ◽  
Wagner Endo ◽  
Alessandro Goedtel
Keyword(s):  
Fault Diagnosis ◽  
Induction Motor ◽  
Coordinate Transformations

Virtual Sensors for Fault Diagnosis: A Case of Induction Motor Broken Rotor Bar

2020 ◽  
pp. 1-1
Author(s):  
Zahra Hosseinpoor ◽  
Mohammad Mehdi Arefi ◽  
Roozbeh Razavi-Far ◽  
Niloofar Mozafari ◽  
Saeede Hazbavi
Keyword(s):  
Fault Diagnosis ◽  
Induction Motor ◽  
Virtual Sensors ◽  
Broken Rotor Bar

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199691
Author(s):  
Omar AlShorman ◽  
Fahad Alkahatni ◽  
Mahmoud Masadeh ◽  
Muhammad Irfan ◽  
Adam Glowacz ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Fault Diagnosis ◽  
Induction Motor ◽  
Vital Role ◽  
Remaining Useful Life ◽  
Useful Life ◽  
Review Study ◽  
Public Datasets ◽  
Fatigue Detection ◽  
Types Of Faults

Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the remaining useful life (RUL) of machinery is crucial for continuous monitoring and timely maintenance. Moreover, reduced maintenance costs, enhanced safety, efficiency, reliability, and availability are the main important industrial issues to maintain valuable and high-cost machinery. Undoubtedly, induction motor (IM) is considered to be a pivotal component in industrial machines. Recently, acoustic emission (AE) becomes a very accurate and efficient method for fault, leaks and fatigue detection and monitoring techniques. Moreover, CM and FD based on the AE of IM have been growing over recent years. The proposed research study aims to review condition monitoring (CM) and fault diagnosis (FD) studies based on sound and AE for four types of faults: bearings, rotor, stator, and compound. The study also points out the advantages and limitations of using sound and AE analysis in CM and FD. Existing public datasets for AE based analysis for CM and FD of IM are also mentioned. Finally, challenges facing AE based CM and FD for RM, especially for IM, and possible future works are addressed in this study.

A Review of Fault Diagnosis for Traction Induction Motor

2018 ◽  
Author(s):  
Yin Tian ◽  
Dingfei Guo ◽  
Kunting Zhang ◽  
Lihao Jia ◽  
Hong Qiao ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Induction Motor
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