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Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review
Z Duan, T Wu, S Guo, T Shao, R Malekian… - The International Journal of …, 2018 - Springer
A rolling bearing is an essential component of a rotating mechanical transmission system. Its
performance and quality directly affects the life and reliability of machinery. Bearings' …
performance and quality directly affects the life and reliability of machinery. Bearings' …
A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
Large wind farms are gaining prominence due to increasing dependence on renewable
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …
Review of condition monitoring of rolling element bearing using vibration analysis and other techniques
C Malla, I Panigrahi - Journal of Vibration Engineering & Technologies, 2019 - Springer
Background Different types of machines having rotary component are linked together in
process industries, to perform the process of manufacturing. The failure of any single …
process industries, to perform the process of manufacturing. The failure of any single …
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
H Qiu, J Lee, J Lin, G Yu - Journal of sound and vibration, 2006 - Elsevier
De-noising and extraction of the weak signature are crucial to fault prognostics in which
case features are often very weak and masked by noise. The wavelet transform has been …
case features are often very weak and masked by noise. The wavelet transform has been …
[KNJIGA][B] Grease lubrication in rolling bearings
PM Lugt - 2012 - books.google.com
The definitive book on the science of grease lubrication for roller and needle bearings in
industrial and vehicle engineering. Grease Lubrication in Rolling Bearings provides an …
industrial and vehicle engineering. Grease Lubrication in Rolling Bearings provides an …
Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
B Samanta, KR Al-Balushi - Mechanical systems and signal processing, 2003 - Elsevier
A procedure is presented for fault diagnosis of rolling element bearings through artificial
neural network (ANN). The characteristic features of time-domain vibration signals of the …
neural network (ANN). The characteristic features of time-domain vibration signals of the …
Residual life predictions from vibration-based degradation signals: a neural network approach
Maintenance of mechanical and rotational equipment often includes bearing inspection
and/or replacement. Thus, it is important to identify current as well as future conditions of …
and/or replacement. Thus, it is important to identify current as well as future conditions of …
Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
B Samanta - Mechanical systems and signal processing, 2004 - Elsevier
A study is presented to compare the performance of gear fault detection using artificial
neural networks (ANNs) and support vector machines (SMVs). The time-domain vibration …
neural networks (ANNs) and support vector machines (SMVs). The time-domain vibration …
Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
B Samanta, KR Al-Balushi, SA Al-Araimi - Engineering applications of …, 2003 - Elsevier
A study is presented to compare the performance of bearing fault detection using two
different classifiers, namely, artificial neural networks (ANNs) and support vector machines …
different classifiers, namely, artificial neural networks (ANNs) and support vector machines …
Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
This paper deals with a new scheme for the prediction of a ball bearing's remaining useful
life based on self-organizing map (SOM) and back propagation neural network methods …
life based on self-organizing map (SOM) and back propagation neural network methods …