Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]
, 2014 Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou +6 more
core +7 more sources
Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion [PDF]
, 2012 Vibrations of a defective rolling bearing often exhibit nonstationary and nonlinear characteristics which are submerged in strong noise and interference components.
Gu, Fengshou +3 more
core +3 more sources
A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals [PDF]
, 2013 Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of
Chen, Zhi +5 more
core +1 more source
An adaptive envelope analysis in a wireless sensor network for bearing fault diagnosis using fast kurtogram algorithm [PDF]
, 2014 This paper proposes a scheme to improve the performance of applying envelope analysis in a wireless sensor network for bearing fault diagnosis. The fast kurtogram is realized on the host computer for determining an optimum band-pass filter for the ...
Gu, James Xi +5 more
core +3 more sources
The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]
The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou +3 more
core +3 more sources
Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis
Machines, 2023 Because of its non-contact measurement characteristics, trackside acoustic technology is now utilized for train bearing fault diagnosis. However, the collected acoustic signal produces Doppler distortions that can impact the accuracy of bearing fault ...
Xing Zhao +3 more
doaj +1 more source
IEEE Access, 2019 To timely detect bearing operating condition, and accurately identify bearing fault type and fault severity, a novel multi-stage hybrid fault diagnosis strategy for rolling bearing is proposed in this paper, which mainly consists of three stages (i.e ...
Xiaoan Yan +3 more
doaj +1 more source
Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis
IEEE Access, 2020 Fault diagnosis of rolling bearing is of great importance to ensure high reliability and safety in the industrial machinery system. Entropy measures are useful non-linear indicators for time series complexity analysis and have been widely applied in ...
Zhiqiang Huo +3 more
doaj +1 more source
Applied Sciences, 2023 Rolling bearings are the core transmission components of large-scale equipment. Once a fault occurs, the consequences may be catastrophic, posing a serious threat to life and the safety of the property.
Zhenggaoyuan Fang +3 more
doaj +1 more source
Rolling Bearing Fault Diagnosis Method Based on Parallel QPSO-BPNN Under Spark-GPU Platform
IEEE Access, 2021 Facing the massive rolling bearing vibration data, how to improve the training efficiency, diagnosis efficiency, and diagnosis accuracy of the rolling bearing fault diagnosis model is a challenge. Considering that the Spark-GPU platform provides powerful
Lanjun Wan +5 more
doaj +1 more source