相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis
Qing Ni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
Deqiang He et al.
ENERGY (2022)
Bearing Fault Event-Triggered Diagnosis Using a Variational Mode Decomposition-Based Machine Learning Approach
Houssem Habbouche et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2022)
An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine
Lei Yao et al.
ENERGY (2021)
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
Ali Dibaj et al.
ISA TRANSACTIONS (2021)
Application of Deep Learning in Fault Diagnosis of Rotating Machinery
Wanlu Jiang et al.
PROCESSES (2021)
An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
Yefeng Yang et al.
APPLIED SOFT COMPUTING (2020)
Parameter estimation of PEM fuel cells employing the hybrid grey wolf optimization method
Di Miao et al.
ENERGY (2020)
Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network
Zhuyun Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
CEEMD-assisted kernel support vector machines for bearing diagnosis
Yanfei Lu et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)
Multi-UAV coordination control by chaotic grey wolf optimization based distributed MPC with event-triggered strategy
Yingxun Wang et al.
CHINESE JOURNAL OF AERONAUTICS (2020)
Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks
Shijie Hao et al.
MEASUREMENT (2020)
Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection
Xueyi Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network
Shi Li et al.
MEASUREMENT (2020)
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
Guoqian Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Siyu Shao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
An integer encoding grey wolf optimizer for virtual network function placement
Huanlai Xing et al.
APPLIED SOFT COMPUTING (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)
Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis
Xiaoxi Ding et al.
MEASUREMENT (2019)
Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine
Zhuyun Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (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)
Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions
Shangjun Ma et al.
IEEE ACCESS (2019)
An algorithm for sensor fault diagnosis with EEMD-SVM
Junjie Ji et al.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (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)
Aircraft Air Compressor Bearing Diagnosis Using Discriminant Analysis and Cooperative Genetic Algorithm and Neural Network Approaches
Ahmed Youssef Ouadine et al.
APPLIED SCIENCES-BASEL (2018)
Superiorities of variational mode decomposition over empirical mode decomposition particularly in time-frequency feature extraction and wind turbine condition monitoring
Wenxian Yang et al.
IET RENEWABLE POWER GENERATION (2017)
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
Chen Lu et al.
ADVANCED ENGINEERING INFORMATICS (2017)
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Turker Ince et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Wade A. Smith et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)