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' …

System health monitoring and prognostics—a review of current paradigms and practices

R Kothamasu, SH Huang, WH VerDuin - The International Journal of …, 2006 - Springer
Abstract System health monitoring is a set of activities performed on a system to maintain it
in operable condition. Monitoring may be limited to the observation of current system states …

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 …

[图书][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 …

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 …

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 …

Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold

A Dibaj, R Hassannejad, MM Ettefagh, MB Ehghaghi - ISA transactions, 2021 - Elsevier
Due to difficulties in identifying localized and incipient bearing faults, most proposed fault
diagnosis methods focus on detecting these faults. However, it is not clear to what extent of …

Residual life predictions from vibration-based degradation signals: a neural network approach

N Gebraeel, M Lawley, R Liu… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
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 …

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 …

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 …