Related references
Note: Only part of the references are listed.Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots
Jianyu Long et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)
Wavelet Packet Decomposition-Based Multiscale CNN for Fault Diagnosis of Wind Turbine Gearbox
Dajian Huang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2023)
Multimodal loosening detection for threaded fasteners based on multiscale cross fuzzy entropy
Jiayu Huang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)
A Fault Diagnosis Method of Rolling Bearing Based on Wavelet Packet Analysis and Deep Forest
Xiangong Li et al.
SYMMETRY-BASEL (2022)
A Fault Feature Extraction Method Based on LMD and Wavelet Packet Denoising
Jingzong Yang et al.
COATINGS (2022)
Residual Gated Dynamic Sparse Network for Gearbox Fault Diagnosis Using Multisensor Data
Honghai Huang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
Using MLP-GABP and SVM with wavelet packet transform-based feature extraction for fault diagnosis of a centrifugal pump
Maamar Al Tobi et al.
ENERGY SCIENCE & ENGINEERING (2022)
Detection and Diagnosis of Stator and Rotor Electrical Faults for Three-Phase Induction Motor via Wavelet Energy Approach
Ameer M. Hussein et al.
ELECTRONICS (2022)
Damage Monitoring of Engineered Cementitious Composite Beams Reinforced with Hybrid Bars Using Piezoceramic-Based Smart Aggregates
Hui Qian et al.
SENSORS (2022)
Energy Ratio Variation-Based Structural Damage Detection Using Convolutional Neural Network
Chuan-Sheng Wu et al.
APPLIED SCIENCES-BASEL (2022)
Fault Diagnosis of Check Valve Based on KPLS Optimal Feature Selection and Kernel Extreme Learning Machine
Xuyi Yuan et al.
COATINGS (2022)
A hybrid feature selection combining wavelet transform for quantitative analysis of heat value of coal using laser-induced breakdown spectroscopy
Peng Lu et al.
APPLIED PHYSICS B-LASERS AND OPTICS (2021)
Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding
Weicheng Guo et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2021)
Fault Detection and Identification Method for Quadcopter Based on Airframe Vibration Signals
Xiaomin Zhang et al.
SENSORS (2021)
Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network
Yiyang Liu et al.
PROCESSES (2021)
Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine
Mingliang Cui et al.
IEEE SENSORS JOURNAL (2021)
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors
Rafia Nishat Toma et al.
SENSORS (2021)
Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networks
Yannis L. Karnavas et al.
IET ELECTRIC POWER APPLICATIONS (2021)
Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion
Huibin Zhu et al.
SENSORS (2021)
An Explainable AI-Based Fault Diagnosis Model for Bearings
Md Junayed Hasan et al.
SENSORS (2021)
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings
Juan Jose Saucedo-Dorantes et al.
SENSORS (2021)
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
Andrei S. Maliuk et al.
SENSORS (2021)
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
Gaowei Xu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Transform and Convolutional Neural Network
Guoqiang Li et al.
APPLIED SCIENCES-BASEL (2020)
A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion
Duy Tang Hoang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (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)
Feature Extraction for Bearing Fault Detection Using Wavelet Packet Energy and Fast Kurtogram Analysis
Xiaojun Zhang et al.
APPLIED SCIENCES-BASEL (2020)
Deep Residual Network for Identifying Bearing Fault Location and Fault Severity Concurrently
Longting Chen et al.
IEEE ACCESS (2020)
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis
Minghang Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery
Shangjun Ma et al.
SENSORS (2019)
A Novel Rolling Bearing Fault Diagnosis and Severity Analysis Method
Yinsheng Chen et al.
APPLIED SCIENCES-BASEL (2019)
Fault Diagnosis for Rail Vehicle Axle-Box Bearings Based on Energy Feature Reconstruction and Composite Multiscale Permutation Entropy
Xiaochao Wang et al.
ENTROPY (2019)
Estimation of Remaining Useful Life of Rolling Element Bearings Using Wavelet Packet Decomposition and Artificial Neural Network
Abbas Rohani Bastami et al.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING (2019)
Mother wavelet selection in the discrete wavelet transform for condition monitoring of wind turbine drivetrain bearings
Daniel Strombergsson et al.
WIND ENERGY (2019)
Selected Rolling Bearing Fault Diagnostic Methods in Wheel Embedded Permanent Magnet Brushless Direct Current Motors
Marcin Skora et al.
ENERGIES (2019)
Experimental fault diagnosis for known and unseen operating conditions of centrifugal pumps using MSVM and WPT based analyses
Janani Shruti Rapur et al.
MEASUREMENT (2019)
A Cross-Domain Stacked Denoising Autoencoders for Rotating Machinery Fault Diagnosis Under Different Working Conditions
Shan Pang et al.
IEEE ACCESS (2019)
Intelligent Fault Diagnosis of Bearings Based on Energy Levels in Frequency Bands Using Wavelet and Support Vector Machines (SVM)
Seyed Majid Yadavar Nikravesh et al.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING (2019)
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes
Minghang Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
Jiedi Sun et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)
Feature extraction for fault diagnosis based on wavelet packet decomposition: An application on linear rolling guide
Hutian Feng et al.
ADVANCES IN MECHANICAL ENGINEERING (2018)
Rolling element bearing diagnostics-A tutorial
Robert B. Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Roller Bearing Fault Diagnosis Based on Nonlinear Redundant Lifting Wavelet Packet Analysis
Lixin Gao et al.
SENSORS (2011)
Feature Selection with the Boruta Package
Miron B. Kursa et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)