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

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, enh...

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Published inAdvances in mechanical engineering Vol. 13; no. 2
Main Authors AlShorman, Omar, Alkahatni, Fahad, Masadeh, Mahmoud, Irfan, Muhammad, Glowacz, Adam, Althobiani, Faisal, Kozik, Jaroslaw, Glowacz, Witold
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.02.2021
Sage Publications Ltd
SAGE Publishing
Subjects
Acoustic emission
Acoustics
Emission analysis
Fault diagnosis
Induction motors
Machinery condition monitoring
Maintenance costs
Rotating machinery
Sound
fault diagnosis
induction motor
fault detection
Acoustic emission
sound analysis
rotating machinery
condition monitoring
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Abstract 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.
AbstractList 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.
Author AlShorman, Omar
Alkahatni, Fahad
Irfan, Muhammad
Masadeh, Mahmoud
Althobiani, Faisal
Glowacz, Adam
Kozik, Jaroslaw
Glowacz, Witold
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Issue 2
Keywords fault diagnosis
induction motor
fault detection
Acoustic emission
sound analysis
rotating machinery
condition monitoring
Language English
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Snippet Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the...
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SubjectTerms Acoustic emission
Acoustics
Emission analysis
Fault diagnosis
Induction motors
Machinery condition monitoring
Maintenance costs
Rotating machinery
Sound
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Title Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
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Volume 13
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