Fault Diagnosis Method for Rolling Element Bearings Under Variable Speed Based on TKEO and Fast-SC
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Failure Analysis and Prevention"
DOI: 10.1007/s11668-018-0383-y
Abstract: Abstract With rotating speed of rotating machinery, it is difficult to maintain stability in practical work which brings many difficulties to the condition monitoring of rotating machinery. When rolling element bearings work under variable speed,… read more here.
Keywords: fault; variable speed; method; speed ... See more keywords
Novel ensemble techniques for classification of rolling element bearing faults
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-016-0540-8
Abstract: Rolling element bearings are the critical mechanical components in industrial applications. These rotary elements work continuously under different operating and environmental conditions. It leads to generation of various defects over the operating surfaces of bearing… read more here.
Keywords: ensemble techniques; machine; classification; classification rolling ... See more keywords
Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.12.010
Abstract: Rolling element bearings (REBs) play an essential role in modern machinery and their condition monitoring is significant in predictive maintenance. Due to the harsh operating conditions, multi-fault may co-exist in one bearing and vibration signal… read more here.
Keywords: rolling element; fault; optimization algorithm; multi fault ... See more keywords
Vibration based modelling of acoustic emission of rolling element bearings
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2019.115117
Abstract: Abstract Vibration response has been extensively used for fault diagnosis, condition monitoring and root cause analysis of issues in the smooth operation of mechanical systems. In recent years, acoustic emission (AE) measurement and analysis have… read more here.
Keywords: modelling acoustic; vibration; acoustic emission; model ... See more keywords
Fault diagnosis of rolling element bearings based on Multiscale Dynamic Time Warping
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2016.10.038
Abstract: Abstract A fault recognition method for rolling element bearings based on Multiscale Dynamic Time Warping (MDTW) is proposed in this paper. After preprocessing using Empirical Mode Decomposition (EMD), CWs are extracted from vibration signals. The… read more here.
Keywords: based multiscale; bearings based; rolling element; element bearings ... See more keywords
A secondary selection-based orthogonal matching pursuit method for rolling element bearing diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109199
Abstract: Abstract Sparse representation based on the matching pursuit (MP) algorithm is an effective method for fault feature extraction involving rolling element bearings. However, in the sparse decomposition stage, the MP algorithm is extremely susceptible to… read more here.
Keywords: selection based; matching pursuit; signal; method ... See more keywords
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.078
Abstract: Abstract Rolling element bearings are critical components in industrial rotating machines. Faults and failures of bearings can cause degradation of machine performance or even a catastrophe. Therefore, it is significant to perform bearing fault diagnosis… read more here.
Keywords: diagnosis; rolling element; fault diagnosis; bearing fault ... See more keywords
Online wear characterisation of rolling element bearing using wear particle morphological features
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DOI: 10.1016/j.wear.2019.05.005
Abstract: Abstract Rolling element bearings are commonly used in rotatory machines and their operation conditions need to be monitored to prevent catastrophic failures. This research aims at developing an effective online monitoring method to analyse wear… read more here.
Keywords: morphological features; online wear; characterisation; rolling element ... See more keywords
Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.08.019
Abstract: Abstract This paper presents a novel signal processing scheme, diagonal slice spectrum assisted optimal scale morphological filter (DSS-OSMF), for rolling element fault diagnosis. In this scheme, the concept of quadratic frequency coupling (QFC) is firstly… read more here.
Keywords: scale morphological; fault; slice spectrum; diagonal slice ... See more keywords
Two novel mixed effects models for prognostics of rolling element bearings
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.06.004
Abstract: Abstract Rolling element bearings are widely used in various machines to support rotating shafts. Due to harsh working environments, the health condition of a bearing degrades over time. A typical bearing degradation process includes two… read more here.
Keywords: two mixed; error; mixed effects; element bearings ... See more keywords
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.106899
Abstract: Abstract Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the mechanical equipment damage caused by the sudden failure of rolling-element bearings, it is necessary to monitor the condition… read more here.
Keywords: extreme learning; learning machine; life; stage ... See more keywords