Related references
Note: Only part of the references are listed.A hybrid of FEM simulations and generative adversarial networks to classify faults in rotor-bearing systems
Yun Gao et al.
ISA TRANSACTIONS (2021)
Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis
Jian Cheng et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network
Jing Zhao et al.
MEASUREMENT (2021)
Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis
Zechao Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A novel Fast Entrogram and its applications in rolling bearing fault diagnosis
Kun Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery
Ali Dibaj et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)
A reinforcement neural architecture search method for rolling bearing fault diagnosis
Ruixin Wang et al.
MEASUREMENT (2020)
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
Yu Wei et al.
ENTROPY (2019)
Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO
Wenlong Fu et al.
ENTROPY (2019)
Adaptive Kurtogram and its applications in rolling bearing fault diagnosis
Yonggang Xu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine
Megha Singh et al.
MEASUREMENT (2019)
Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals
Adam Glowacz
SENSORS (2019)
Fault diagnosis of rolling bearings with recurrent neural network based autoencoders
Han Liu et al.
ISA TRANSACTIONS (2018)
A review on the application of deep learning in system health management
Samir Khan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
Wei Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing
Haidong Shao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks
Han Liu et al.
NEUROCOMPUTING (2018)
Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
Wahyu Caesarendra et al.
APPLIED SCIENCES-BASEL (2018)
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Liang Guo et al.
NEUROCOMPUTING (2017)
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
Chen Lu et al.
SIGNAL PROCESSING (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
Chen Lu et al.
ADVANCED ENGINEERING INFORMATICS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Olivier Janssens et al.
JOURNAL OF SOUND AND VIBRATION (2016)
Rolling bearing fault diagnosis using an optimization deep belief network
Haidong Shao et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Roller element bearing fault diagnosis using singular spectrum analysis
Bubathi Muruganatham et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines
Xiaoyuan Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Failure diagnosis using deep belief learning based health state classification
Prasanna Tamilselvan et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
Rolling element bearing diagnostics-A tutorial
Robert B. Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Share Paper
