Condition monitoring and fault diagnosis of induction motor
SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector …
This paper presents an investigation of vibration and current monitoring for effective fault
prediction in induction motor (IM) by using multiclass support vector machine (MSVM) …
prediction in induction motor (IM) by using multiclass support vector machine (MSVM) …
[HTML][HTML] Fault diagnosis for induction generator-based wind turbine using ensemble deep learning techniques
Fault diagnosis in induction machines (IM) require effective detection at early stages to
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
A review to diagnose faults related to three-phase industrial induction motors
The induction motor is one of the essential components of the industry. In industrial
applications, the controllability, protection, and reliability of induction motors are of major …
applications, the controllability, protection, and reliability of induction motors are of major …
[HTML][HTML] An efficient stator inter-turn fault diagnosis tool for induction motors
Induction motors constitute the largest proportion of motors in industry. This type of motor
experiences different types of failures, such as broken bars, eccentricity, and inter-turn …
experiences different types of failures, such as broken bars, eccentricity, and inter-turn …
Fault diagnosis of electrical equipment through thermal imaging and interpretable machine learning applied on a newly-introduced dataset
In this study, an interpretable, fully automated pipeline for condition monitoring of electrical
equipment using thermal imaging is proposed. A wider array of defects in comparison with …
equipment using thermal imaging is proposed. A wider array of defects in comparison with …
[HTML][HTML] An efficient fault detection method for induction motors using thermal imaging and machine vision
Induction motors (IMs) are the backbone of industry, and play a vital role in daily life as well.
However, induction motors face various faults during their operation, which may cause …
However, induction motors face various faults during their operation, which may cause …
[HTML][HTML] Multiscale kernel-based residual CNN for estimation of inter-turn short circuit fault in PMSM
Q Song, M Wang, W Lai, S Zhao - Sensors, 2022 - mdpi.com
The diagnosis of an inter-turn short circuit (ITSC) fault at its early stage is very important in
permanent magnet synchronous motors as these faults can lead to disastrous results. In this …
permanent magnet synchronous motors as these faults can lead to disastrous results. In this …
Asenkron motor arızalarının değerlendirilmesi
Bu çalışmada sanayinin en önemli yapı taşlarından olan asenkronmotorlarda meydana
gelen arıza türleri incelenmiştir. Özellikle çok ağırçalışma koşullarında sorunsuz olarak …
gelen arıza türleri incelenmiştir. Özellikle çok ağırçalışma koşullarında sorunsuz olarak …
Real‐time condition monitoring on VSD‐fed induction motors through statistical analysis and synchronous speed observation
E Cabal‐Yepez… - … on Electrical Energy …, 2015 - Wiley Online Library
Induction motors are key elements of every industrial process. A faulty motor produces
interruptions on production lines, with consequences in cost, product quality, and safety. The …
interruptions on production lines, with consequences in cost, product quality, and safety. The …