A Novel Cuckoo Search Optimized Deep Auto-Encoder Network-Based Fault Diagnosis Method for Rolling Bearing

A Novel Cuckoo Search Optimized Deep Auto-Encoder Network-Based Fault Diagnosis Method for Rolling Bearing

To enhance the performance of deep auto-encoder (AE) under complex working conditions, a novel deep auto-encoder network method for rolling bearing fault diagnosis is proposed in this paper. First, multiscale analysis is adopted to extract the multiscale features from the raw vibration signals of ro...

Full description

Bibliographic Details
Main Authors:	Jinyu Tong, Jin Luo, Haiyang Pan, Jinde Zheng, Qing Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2020-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2020/8891905

Similar Items

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing
by: Qingyun Liu, et al.
Published: (2019-03-01)

Refined Composite Multivariate Multiscale Dispersion Entropy and Its Application to Fault Diagnosis of Rolling Bearing
by: Congzhi Li, et al.
Published: (2019-01-01)

A Fault Classification Method for Rolling Bearing Based on Multisynchrosqueezing Transform and WOA-SMM
by: Jinde Zheng, et al.
Published: (2020-01-01)

Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings
by: Deyu Tu, et al.
Published: (2018-05-01)

A New Fault Diagnosis Classifier for Rolling Bearing United Multi-Scale Permutation Entropy Optimize VMD and Cuckoo Search SVM
by: Zijian Guo, et al.
Published: (2020-01-01)

An Improved Empirical Wavelet Transform and Refined Composite Multiscale Dispersion Entropy-Based Fault Diagnosis Method for Rolling Bearing
by: Jinde Zheng, et al.
Published: (2020-01-01)

Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis
by: Jinde Zheng, et al.
Published: (2014-01-01)

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis
by: Xiaolong Zhu, et al.
Published: (2018-08-01)

Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing
by: Zhilin Dong, et al.
Published: (2019-06-01)

Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks
by: Hongliang Zhang, et al.
Published: (2020-01-01)

Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine
by: Xiaoli Zhao, et al.
Published: (2020-01-01)

The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest
by: Xiwen Qin, et al.
Published: (2021-01-01)

A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings
by: Jinde Zheng, et al.
Published: (2017-11-01)

Rolling Element Bearings Fault Diagnosis Based on a Novel Optimal Frequency Band Selection Scheme
by: Qing Ni, et al.
Published: (2019-01-01)

An adaptive stochastic resonance method based on multi-agent cuckoo search algorithm for bearing fault detection
by: Kuo Chi, et al.
Published: (2019-08-01)

Fault Diagnosis of Rolling Bearing Based on Modified Deep Metric Learning Method
by: Zengbing Xu, et al.
Published: (2021-01-01)

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
by: Hongmei Liu, et al.
Published: (2016-01-01)

Rolling Bearing Fault Diagnosis Using Improved Deep Residual Shrinkage Networks
by: Zhijin Zhang, et al.
Published: (2021-01-01)

Fault diagnosis of rolling bearing using CVA based detector
by: Baoxiang Wang, et al.
Published: (2016-11-01)

Cuckoo inspired fast search algorithm for fractal image encoding
by: B. Mohammed Ismail, et al.
Published: (2018-10-01)

Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions
by: Changchang Che, et al.
Published: (2019-12-01)

Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights
by: Minh Tuan Pham, et al.
Published: (2021-01-01)

Application of the phase difference correct method in rolling bearing fault diagnosis
by: Xinyi Li, et al.
Published: (2017-12-01)

Fault Diagnosis of Rolling Bearings Based on EWT and KDEC
by: Mingtao Ge, et al.
Published: (2017-12-01)

A Novel Rolling Bearing Fault Diagnosis and Severity Analysis Method
by: Yinsheng Chen, et al.
Published: (2019-06-01)

Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM
by: Jiang Xingmeng, et al.
Published: (2016-01-01)

A new fault feature for rolling bearing fault diagnosis under varying speed conditions
by: Yong Ren, et al.
Published: (2017-06-01)

Fault diagnosis of motor bearing based on deep learning
by: Yifan Jian, et al.
Published: (2019-09-01)

Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings
by: Jie Lv, et al.
Published: (2021-08-01)

A study on the diagnosis of compound faults in rolling bearings based on ITD-SVD
by: Xiang Pan, et al.
Published: (2021-01-01)

Fault Location of Distribution Network Base on Improved Cuckoo Search Algorithm
by: Xiaoli Huang, et al.
Published: (2020-01-01)

Application of SVM Optimized by IPSO in Rolling Bearing Fault Diagnosis
by: Lv Mingzhu, et al.
Published: (2018-01-01)

Weak fault diagnosis of rolling bearing based on FRFT and DBN
by: Xing He, et al.
Published: (2020-01-01)

An Improved Method Based on CEEMD for Fault Diagnosis of Rolling Bearing
by: Meijiao Li, et al.
Published: (2014-11-01)

Local coordinate weight reconstruction for rolling bearing fault diagnosis
by: Chenxi Wu, et al.
Published: (2020-11-01)

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform
by: Bin Pang, et al.
Published: (2018-04-01)

A rolling bearing fault diagnosis method based on LSSVM
by: Xuejin Gao, et al.
Published: (2020-01-01)

Application of MCKD and improved LSSVM in fault diagnosis of rolling bearing
by: Liu Bo, et al.
Published: (2018-07-01)

Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model
by: Yinghua Shao, et al.
Published: (2020-01-01)

Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings
by: Tao Jiang, et al.
Published: (2019-01-01)