Related references
Note: Only part of the references are listed.Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTM
Fengqian Zou et al.
APPLIED INTELLIGENCE (2021)
Fault Diagnosis of Complex Chemical Processes Using Feature Fusion of a Convolutional Network
Nan Wang et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2021)
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
Min Xia et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Deep transfer learning with limited data for machinery fault diagnosis
Te Han et al.
APPLIED SOFT COMPUTING (2021)
Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions
Xining Zhang et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2021)
ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis
Tanvir Alam Shifat et al.
IEEE ACCESS (2021)
A minimum entropy deconvolution-enhanced convolutional neural networks for fault diagnosis of axial piston pumps
Shuhui Wang et al.
SOFT COMPUTING (2020)
Research on energy consumption of injection molding machine driven by five different types of electro-hydraulic power units
He Liu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
Xiang Li et al.
NEUROCOMPUTING (2020)
Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions
Yong Yao et al.
SENSORS (2020)
A Multisensor Data Fusion Method for Ball Screw Fault Diagnosis Based on Convolutional Neural Network With Selected Channels
Pengfei Shan et al.
IEEE SENSORS JOURNAL (2020)
Knowledge Transfer for Rotary Machine Fault Diagnosis
Ruqiang Yan et al.
IEEE SENSORS JOURNAL (2020)
Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals
Qun Chao et al.
ALEXANDRIA ENGINEERING JOURNAL (2020)
Intelligent fault diagnosis of mechanical equipment under varying working updates condition via iterative matching network augmented with selective Signal reuse strategy
Kaiyu Zhang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Unsupervised Deep Domain Adaptation Based on Weighted Adversarial Network
Xu Jia et al.
IEEE ACCESS (2020)
A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines
Bin Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
Xiang Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system
Xuewei Zhang et al.
OPTIK (2019)
A Vibration Signal-Based Method for Fault Identification and Classification in Hydraulic Axial Piston Pumps
Paolo Casoli et al.
ENERGIES (2019)
Multi-sensors based condition monitoring of rotary machines: An approach of multidimensional time-series analysis
Teng Wang et al.
MEASUREMENT (2019)
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
Bin Yang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion
Wenfeng Gong et al.
SENSORS (2019)
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
Liang Guo et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Huailiang Zheng et al.
IEEE ACCESS (2019)
A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps
Paolo Casoli et al.
ENERGIES (2018)
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
Adam Glowacz et al.
MEASUREMENT (2018)
Artificial intelligence for fault diagnosis of rotating machinery: A review
Ruonan Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Chuan Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
A Comprehensive Evaluation of Spectral Distance Functions and Metrics for Hyperspectral Image Processing
Hilda Deborah et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
D. H. Pandya et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Layered clustering multi-fault diagnosis for hydraulic piston pump
Jun Du et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)