Automatic and Efficient Fault Detection in Rotating Machinery using Sound Signals
Sign Up to like & getrecommendations! Published in 2019 at "Acoustics Australia"
DOI: 10.1007/s40857-019-00153-6
Abstract: Vibration and acoustic emission have received great attention of the research community for condition-based maintenance in rotating machinery. Several signal processing algorithms were either developed or used efficiently to detect and classify faults in bearings… read more here.
Keywords: rotating machinery; machinery; automatic efficient; fault detection ... See more keywords
Feature extraction for early fault detection in rotating machinery of nuclear power plants based on adaptive VMD and Teager energy operator
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2021.108392
Abstract: Abstract Extracting features for early failure detection in rotating machinery of nuclear power plants (NPPs) is difficult because in the early stages of failure the impact on the vibration signals is weak. To improve early… read more here.
Keywords: early fault; rotating machinery; fault; detection rotating ... See more keywords
A combined acoustic and dynamic model of a defective ball bearing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2021.116029
Abstract: Abstract Due to their special characteristics, angular contact ball bearings (ACBBs) are broadly applied in various mechancial systems. The working performance of rotating machinery can be determined by the internal ACBBs. Vibration and acoustic characteristics… read more here.
Keywords: dynamic model; rotating machinery; ball; model ... See more keywords
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107320
Abstract: Abstract Generally, the measured health condition data from mechanical system often exhibits imbalanced distribution in real-world cases. To enhance fault diagnostic accuracy of the imbalanced data set, a novel rotating machinery fault imbalanced diagnostic approach… read more here.
Keywords: auto encoder; rotating machinery; fault diagnosis; diagnosis ... See more keywords
Adaptive stochastic resonance quantified by a novel evaluation index for rotating machinery fault diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109920
Abstract: Abstract Stochastic resonance (SR) provides the enhancement of fault characteristic signals with the assistance of noise. The performance of adaptive SR must be evaluated using an appropriate index to automatically enhance various characteristic signals. This… read more here.
Keywords: index; rotating machinery; fault diagnosis; fault ... See more keywords
Experimental Investigation of the Excitation Forcing Function in Rotating Machinery
Sign Up to like & getrecommendations! Published in 2018 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2018.02.043
Abstract: Abstract Bearing fault is one of the major faults in the crystallographic failure of the rotating machine. Due to these faults induced in the rotating machine will lead to the excitation force i.e. the dynamic… read more here.
Keywords: excitation forcing; experimental investigation; rotating machinery; excitation ... See more keywords
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.03.034
Abstract: Abstract The operation conditions of the rotating machinery are always complex and variable, which makes it difficult to automatically and effectively capture the useful fault features from the measured vibration signals, and it is a… read more here.
Keywords: deep autoencoder; rotating machinery; machinery fault;
Comparison of methods for separating vibration sources in rotating machinery
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.03.040
Abstract: Abstract Vibro-acoustic signatures are widely used for diagnostics of rotating machinery. Vibration based automatic diagnostics systems need to achieve a good separation between signals generated by different sources. The separation task may be challenging, since… read more here.
Keywords: vibration; rotating machinery; separation; signals generated ... See more keywords
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.02.009
Abstract: Abstract Intelligent fault diagnosis of rotating machinery is vital for industries to improve fault prediction performance and reduce the maintenance cost. The new fault diagnostic framework is proposed which consists of three stages: (1) signal… read more here.
Keywords: diagnosis rotating; fault; rotating machinery; fault diagnosis ... See more keywords
Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.02.056
Abstract: Abstract The presence of periodic impulses in vibration signals is a typical symptom of localized faults of rotating machinery. It is of great significance to study how to effectively extract the periodic impulses in vibration… read more here.
Keywords: rotating machinery; fault diagnosis; vmd; periodic impulses ... See more keywords
A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.106609
Abstract: Abstract Fault diagnosis methods based on dimensionless indicators have long been studied for rotating machinery. However, traditional dimensionless indicators frequently suffer a low accuracy of fault diagnosis for nonlinear and non-stationary dynamic signals of rotating… read more here.
Keywords: fault; rotating machinery; fault diagnosis; dimensionless indicators ... See more keywords