Related references
Note: Only part of the references are listed.Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning
Meng Hao et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)
Privacy and Security Issues in Deep Learning: A Survey
Ximeng Liu et al.
IEEE ACCESS (2021)
A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization
Haihong Tang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning
Saiwei Wang et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2021)
A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster-Shafer theory
Kun Yu et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)
Application of neural network algorithm in fault diagnosis of mechanical intelligence
Xianzhen Xu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples
Jinjiang Wang et al.
RENEWABLE ENERGY (2020)
An Automatic Bearing Fault Diagnosis Method Based on Characteristics Frequency Ratio
Dengyun Wu et al.
SENSORS (2020)
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
Rafia Nishat Toma et al.
SENSORS (2020)
Applications of machine learning to machine fault diagnosis: A review and roadmap
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions
Muhammad Sohaib et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
Huaqing Wang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Bearing Fault Classification of Induction Motors Using Discrete Wavelet Transform and Ensemble Machine Learning Algorithms
Rafia Nishat Toma et al.
APPLIED SCIENCES-BASEL (2020)
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures
Shoucong Xiong et al.
SENSORS (2020)
Fault Diagnosis of Spindle Device in Hoist Using Variational Mode Decomposition and Statistical Features
Jun Gu et al.
SHOCK AND VIBRATION (2020)
Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer
Farzin Piltan et al.
APPLIED SCIENCES-BASEL (2020)
A Deep-Learning-Based Bearing Fault Diagnosis Using Defect Signature Wavelet Image Visualization
Bach Phi Duong et al.
APPLIED SCIENCES-BASEL (2020)
Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm
Huaitao Shi et al.
SHOCK AND VIBRATION (2020)
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
Long Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Combined deep belief network in deep learning with affinity propagation clustering algorithm for roller bearings fault diagnosis without data label
Fan Xu et al.
JOURNAL OF VIBRATION AND CONTROL (2019)
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection
Xiaoan Yan et al.
KNOWLEDGE-BASED SYSTEMS (2019)
An adaptive sensitive frequency band selection method for empirical wavelet transform and its application in bearing fault diagnosis
Kun Yu et al.
MEASUREMENT (2019)
Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy
Hua Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform
Pengfei Liang et al.
COMPUTERS IN INDUSTRY (2019)
Time-frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets
Xin Zhang et al.
ISA TRANSACTIONS (2019)
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Dandan Peng et al.
IEEE ACCESS (2019)
An Improved Fault Diagnosis Method Based on a Genetic Algorithm by Selecting Appropriate IMFs
Lin Mengting et al.
IEEE ACCESS (2019)
A Deep Learning Method for Bearing Fault Diagnosis Based on Time-frequency Image
Jianyu Wang et al.
IEEE ACCESS (2019)
Acoustic based fault diagnosis of three-phase induction motor
Adam Glowacz
APPLIED ACOUSTICS (2018)
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
Long Wen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Time-frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis
Lei Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis
Bach Phi Duong et al.
SENSORS (2018)
A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
Sheng Guo et al.
SENSORS (2018)
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models
Alexander E. Prosvirin et al.
SENSORS (2018)
An Improved VMD With Empirical Mode Decomposition and Its Application in Incipient Fault Detection of Rolling Bearing
Fan Jiang et al.
IEEE ACCESS (2018)
A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing
Wu Deng et al.
IEEE ACCESS (2018)
Diagnosis of the three-phase induction motor using thermal imaging
Adam Glowacz et al.
INFRARED PHYSICS & TECHNOLOGY (2017)
A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
Dazhong Wu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2017)
Efficient implementation of envelope analysis on resources limited wireless sensor nodes for accurate bearing fault diagnosis
G. Feng et al.
MEASUREMENT (2017)
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
Wei Zhang et al.
SENSORS (2017)
Autonomous Bearing Fault Diagnosis Method based on Envelope Spectrum
Andreas Klausen et al.
IFAC PAPERSONLINE (2017)
A Novel Multimode Fault Classification Method Based on Deep Learning
Funa Zhou et al.
JOURNAL OF CONTROL SCIENCE AND ENGINEERING (2017)
An improved envelope detection method using particle swarm optimisation for rolling element bearing fault diagnosis
Sunil Tyagi et al.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2017)
A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy
Yongbo Li et al.
JOURNAL OF SOUND AND VIBRATION (2016)
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
Xiaojie Guo et al.
MEASUREMENT (2016)
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
Jaouher Ben Ali et al.
APPLIED ACOUSTICS (2015)
Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis
Myeongsu Kang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
An Enhanced Bispectrum Technique With Auxiliary Frequency Injection for Induction Motor Health Condition Monitoring
De Zhi Li et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
High-Performance and Energy-Efficient Fault Diagnosis Using Effective Envelope Analysis and Denoising on a General-Purpose Graphics Processing Unit
Myeongsu Kang et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2015)
Shake Table Test of Large-Scale Bridge Columns Supported on Rocking Shallow Foundations
Grigorios Antonellis et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2015)
Application of LCD-SVD Technique and CRO-SVM Method to Fault Diagnosis for Roller Bearing
Songrong Luo et al.
SHOCK AND VIBRATION (2015)
Feature Extraction and Recognition for Rolling Element Bearing Fault Utilizing Short-Time Fourier Transform and Non-negative Matrix Factorization
Gao Huizhong et al.
CHINESE JOURNAL OF MECHANICAL ENGINEERING (2015)
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Yaguo Lei et al.
MEASUREMENT (2014)
An enhanced Kurtogram method for fault diagnosis of rolling element bearings
Dong Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
An insight concept to select appropriate IMFs for envelope analysis of bearing fault diagnosis
Wen-Chang Tsao et al.
MEASUREMENT (2012)
Rolling element bearing diagnostics-A tutorial
Robert B. Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain
Van Tuan Do et al.
STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING (2011)
Detection of Motor Bearing Outer Raceway Defect by Wavelet Packet Transformed Motor Current Signature Analysis
Enzo C. C. Lau et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2010)
Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
Yaguo Lei et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2009)
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Zhaohua Wu et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2009)
A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM
Yu Yang et al.
MEASUREMENT (2007)
Fast computation of the kurtogram for the detection of transient faults
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
Share Paper
