Cargando…

Intelligent fault diagnosis and remaining useful life prediction of rotating machinery

Detalles Bibliográficos
Autor principal:	Lei, Yaguo
Lenguaje:	eng
Publicado:	Elsevier Science 2016
Materias:	Engineering
Acceso en línea:	http://cds.cern.ch/record/2241559

Ejemplares similares

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
por: Lei, Yaguo, et al.
Publicado: (2013)

Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
por: Xiao, Qiyang, et al.
Publicado: (2022)

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning
por: Inyang, Udeme Ibanga, et al.
Publicado: (2023)

A Novel Method for Fault Diagnosis of Rotating Machinery
por: Tang, Meng, et al.
Publicado: (2022)

Vibrations of rotating machinery
por: Matsushita, Osami, et al.
Publicado: (2017)

Intelligent Method for Diagnosing Structural Faults of Rotating Machinery Using Ant Colony Optimization
por: Li, Ke, et al.
Publicado: (2011)

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography
por: Wang, Rongcai, et al.
Publicado: (2022)

Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
por: Lu, Chen, et al.
Publicado: (2016)

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
por: Wei, Yu, et al.
Publicado: (2019)

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery
por: Zhang, Long, et al.
Publicado: (2022)

Rotating machineries: aspects of operation and maintenance
por: Sulaiman, Shaharin Anwar
Publicado: (2018)

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
por: Li, Chuan, et al.
Publicado: (2016)

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
por: Li, Hongmei, et al.
Publicado: (2020)

Rotating machinery vibration: from analysis to troubleshooting
por: Adams, Maurice L
Publicado: (2000)

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery
por: Ma, Shangjun, et al.
Publicado: (2019)

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery
por: Jia, Sixiang, et al.
Publicado: (2021)

Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions
por: Jang, Gye-Bong, et al.
Publicado: (2021)

Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network
por: Yan, Jing, et al.
Publicado: (2021)

Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
por: Cai, Yuxiang, et al.
Publicado: (2022)

LMD Method and Multi-Class RWSVM of Fault Diagnosis for Rotating Machinery Using Condition Monitoring Information
por: Liu, Zhiwen, et al.
Publicado: (2013)

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion
por: Gong, Wenfeng, et al.
Publicado: (2019)

Electrical fault diagnosis
por: Spence, S A
Publicado: (1958)

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
por: Guo, Sheng, et al.
Publicado: (2018)

A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis
por: Liu, Wenkai, et al.
Publicado: (2019)

The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery
por: Wang, Xianzhi, et al.
Publicado: (2019)

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis
por: Faysal, Atik, et al.
Publicado: (2021)

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery
por: Ciszewski, Tomasz, et al.
Publicado: (2023)

Machine learning for fault analysis in rotating machinery: A comprehensive review
por: Das, Oguzhan, et al.
Publicado: (2023)

Diagnosis and fault-tolerant control
por: Blanke, Mogens, et al.
Publicado: (2016)

Fault diagnosis of induction motors
por: Faiz, Jawad, et al.
Publicado: (2017)

Fault diagnosis of digital circuits
por: Yarmolik, Viacheslaw Nikolaevich
Publicado: (1990)

Fault diagnosis and fault-tolerant control based on adaptive control approach
por: Shen, Qikun, et al.
Publicado: (2017)

Data-driven design of fault diagnosis and fault-tolerant control systems
por: Ding, Steven X
Publicado: (2014)

A Multimodal Feature Fusion-Based Deep Learning Method for Online Fault Diagnosis of Rotating Machinery
por: Zhou, Funa, et al.
Publicado: (2018)

Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items
por: Dong, Han, et al.
Publicado: (2022)

Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer
por: Ye, Lihao, et al.
Publicado: (2021)

An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis
por: Zhu, Fu, et al.
Publicado: (2022)

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition
por: Han, Te, et al.
Publicado: (2017)

Fault Diagnosis of Rotating Machinery Using Kernel Neighborhood Preserving Embedding and a Modified Sparse Bayesian Classification Model
por: Lu, Lixin, et al.
Publicado: (2023)

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification
por: Mochammad, Solichin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fl4rfkgbrq5a1g8odjdbc75729