A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-021-1305-0
Abstract: Working conditions of rolling bearings of wind turbine generators are complicated, and their vibration signals often show non-linear and non-stationary characteristics. In order to improve the efficiency of feature extraction of wind turbine rolling bearings… read more here.
Keywords: fault; fault diagnosis; multi scale; rolling bearings ... See more keywords
Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders.
Sign Up to like & getrecommendations! Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.04.005
Abstract: As the rolling bearings being the key part of rotary machine, its healthy condition is quite important for safety production. Fault diagnosis of rolling bearing has been research focus for the sake of improving the… read more here.
Keywords: diagnosis; diagnosis rolling; fault diagnosis; recurrent neural ... See more keywords
Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator.
Sign Up to like & getrecommendations! Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.05.017
Abstract: Aiming at the problems that the incipient fault of rolling bearings is difficult to recognize and the number of intrinsic mode functions (IMFs) decomposed by variational mode decomposition (VMD) must be set in advance and… read more here.
Keywords: teager energy; fault; energy operator; rolling bearings ... See more keywords
Data synthesis using dual discriminator conditional generative adversarial networks for imbalanced fault diagnosis of rolling bearings
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DOI: 10.1016/j.measurement.2020.107741
Abstract: Abstract Diagnosis of rolling bearings plays an important role in condition monitoring of industrial rotating machinery. In many actual applications, rolling bearings work in normal state at most time and faulty samples are difficult to… read more here.
Keywords: generative adversarial; diagnosis; imbalanced fault; fault diagnosis ... See more keywords
A mathematical model and numeric method for contact analysis of rolling bearings
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DOI: 10.1016/j.mechmachtheory.2017.08.020
Abstract: Abstract This paper deals with contact analysis of rolling bearings. A new mathematical model and numeric method are presented in this paper for the purpose of contact analysis of rolling bearings based on the principle… read more here.
Keywords: method; contact analysis; rolling bearings; contact ... See more keywords
Service Loading of Rolling Bearings in Wind Turbine Gearboxes: X-ray Diffraction Material Response Analysis of White Etching Crack Premature Failures
Sign Up to like & getrecommendations! Published in 2018 at "Tribology Transactions"
DOI: 10.1080/10402004.2017.1314575
Abstract: ABSTRACT Rolling bearings in wind turbine gearboxes occasionally fail prematurely due to white etching cracks. The appearance of preparatively opened fracture faces indicates damage initiation from the surface in most cases due to brittle spontaneous… read more here.
Keywords: response analysis; material response; rolling bearings; white etching ... See more keywords
Bandwidth Fourier decomposition and its application in incipient fault identification of rolling bearings
Sign Up to like & getrecommendations! Published in 2019 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ab4069
Abstract: Abstract：a#13; Incipient fault identification of rolling bearings is of great significance in avoiding the occurrence of malignant accidents in rotating machinery. However, the fault-related features at early stage are weak and easily contaminated by environmental… read more here.
Keywords: fault identification; incipient fault; decomposition; rolling bearings ... See more keywords
Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions
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DOI: 10.1109/access.2019.2939546
Abstract: olling bearings are crucial components in mechanical, civil and aerospace engineering. The practical working conditions of rolling bearings are complex and tough, hence fault diagnosis of rolling bearings under varying operating conditions is very challenging.… read more here.
Keywords: fault diagnosis; operating conditions; varying operating; rolling bearings ... See more keywords
Rolling Element Fault Diagnosis Based on VMD and Sensitivity MCKD
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DOI: 10.1109/access.2021.3108972
Abstract: In order to improve the diagnosis accuracy and solve the weak fault signal of rolling element of rolling bearings due to long transmission path, a novel fault diagnosis method based on variational mode decomposition (VMD)… read more here.
Keywords: diagnosis; mckd; rolling element; rolling bearings ... See more keywords
Remaining Useful Life Prediction for Rolling Bearings With a Novel Entropy-Based Health Indicator and Improved Particle Filter Algorithm
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DOI: 10.1109/access.2023.3234286
Abstract: Due to the importance of bearings in modern machinery, the prediction of the remaining useful life (RUL) of rolling bearings has been widely studied. When predicting the RUL of rolling bearings in engineering practice, the… read more here.
Keywords: useful life; remaining useful; health indicator; prediction ... See more keywords
Initial Fault Diagnosis of Rolling Bearing Based on Second-Order Cyclic Autocorrelation and DCAE Combined With Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3132065
Abstract: Under actual working conditions, the initial faults of rolling bearings are difficult to be predicted effectively because of the lack of prior fault knowledge, weak fault information, and strong noise interference. How to enhance the… read more here.
Keywords: rolling bearings; initial fault; rolling bearing; fault diagnosis ... See more keywords