A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

P Gangsar, R Tiwari - Mechanical systems and signal processing, 2020 - Elsevier
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

Deep learning algorithms for bearing fault diagnostics—A comprehensive review

S Zhang, S Zhang, B Wang, TG Habetler - IEEE Access, 2020 - ieeexplore.ieee.org
In this survey paper, we systematically summarize existing literature on bearing fault
diagnostics with deep learning (DL) algorithms. While conventional machine learning (ML) …

Data-driven methods for predictive maintenance of industrial equipment: A survey

W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …

A review on data-driven fault severity assessment in rolling bearings

M Cerrada, RV Sánchez, C Li, F Pacheco… - … Systems and Signal …, 2018 - Elsevier
Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …

Deep learning based approach for bearing fault diagnosis

M He, D He - IEEE Transactions on Industry Applications, 2017 - ieeexplore.ieee.org
Bearing is one of the most critical components in most electrical and power drives. Effective
bearing fault diagnosis is important for keeping the electrical and power drives safe and …

Trends in fault diagnosis for electrical machines: A review of diagnostic techniques

H Henao, GA Capolino… - IEEE industrial …, 2014 - ieeexplore.ieee.org
The fault diagnosis of rotating electrical machines has received an intense amount of
research interest during the last 30 years. Reducing maintenance costs and preventing …

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 …

Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks

MD Prieto, G Cirrincione, AG Espinosa… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Bearing degradation is the most common source of faults in electrical machines. In this
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …

Analysis of statistical time-domain features effectiveness in identification of bearing faults from vibration signal

BR Nayana, P Geethanjali - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
The frequency of rolling element failures in induction motor is high and may lead to losses
due to sudden downtime of machine. Researchers are fervent to identify an effective fault …