Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations

Fault diagnosis of rotating machinery based on combination of Wasserstein generative adversarial networks and long short term memory fully convolutional network

(2022) Yibing Li et al.   MEASUREMENT

A hybrid physics-informed neural network for main bearing fatigue prognosis under grease quality variation

(2022) Yigit A. Yucesan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A physics-informed deep learning approach for bearing fault detection

(2021) Sheng Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition

(2021) Honggan Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

(2021) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A health-adaptive time-scale representation (HTSR) embedded convolutional neural network for gearbox fault diagnostics

(2021) Yunhan Kim et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A semi-supervised GAN method for RUL prediction using failure and suspension histories

(2021) Rui He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

Bearing defect diagnosis based on semi-supervised kernel Local Fisher Discriminant Analysis using pseudo labels

(2020) Xinmin Tao et al.   ISA TRANSACTIONS

Diagnosis of wind turbine faults with transfer learning algorithms

(2020) Wanqiu Chen et al.   RENEWABLE ENERGY

An automatic speed adaption neural network model for planetary gearbox fault diagnosis

(2020) Peng Chen et al.   MEASUREMENT

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

(2020) Xinya Wu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings

(2019) Mohammadkazem Sadoughi et al.   IEEE SENSORS JOURNAL

Comparison of condition monitoring techniques in assessing fault severity for a wind turbine gearbox under non-stationary loading

(2019) Inturi Vamsi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent Detection of a Planetary Gearbox Composite Fault Based on Adaptive Separation and Deep Learning

(2019) Guo-dong Sun et al.   SENSORS

Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis

(2019) John Grezmak et al.   IEEE SENSORS JOURNAL

Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization

(2019) Zhiwei Wang et al.   MEDICAL IMAGE ANALYSIS

Knowledge Transfer for Rotary Machine Fault Diagnosis

(2019) Ruqiang Yan et al.   IEEE SENSORS JOURNAL

Blind deconvolution based on cyclostationarity maximization and its application to fault identification

(2018) Marco Buzzoni et al.   JOURNAL OF SOUND AND VIBRATION

Integrating angle-frequency domain synchronous averaging technique with feature extraction for gear fault diagnosis

(2018) Shengli Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI

(2018) Morteza Mardani et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multidimensional Tensor-Based Inductive Thermography With Multiple Physical Fields for Offshore Wind Turbine Gear Inspection

(2016) Bin Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis in spur gears based on genetic algorithm and random forest

(2016) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

(2016) Chuan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machines

(2015) Shibin Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gear parameter identification in a wind turbine gearbox using vibration signals

(2013) Nader Sawalhi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Statistical fault diagnosis based on vibration analysis for gear test-bench under non-stationary conditions of speed and load

(2011) Luisa F. Villa et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING