Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings

A physics-informed feature weighting method for bearing fault diagnostics

(2023) Hao Lu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multilayer Grad-CAM: An effective tool towards explainable deep neural networks for intelligent fault diagnosis

(2023) Sinan Li et al.   JOURNAL OF MANUFACTURING SYSTEMS

Wavelet transform for rotary machine fault diagnosis:10 years revisited

(2023) Ruqiang Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dual-Path Mixed Domain Residual Threshold Networks for Bearing Fault Diagnosis

(2022) Yongyi Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Learning-based Explainable Fault Diagnosis Model with an Individually Grouped 1D Convolution for 3-axis Vibration Signals

(2022) Min Su Kim et al.   IEEE Transactions on Industrial Informatics

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability

(2022) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

GMA-DRSNs: A novel fault diagnosis method with global multi-attention deep residual shrinkage networks

(2022) Zhijin Zhang et al.   MEASUREMENT

Fault Diagnosis for Limited Annotation Signals and Strong Noise Based on Interpretable Attention Mechanism

(2022) Biao Chen et al.   IEEE SENSORS JOURNAL

A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process

(2022) Le Dai et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions

(2022) Yadong Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Explainable AI Algorithms for Vibration Data-Based Fault Detection: Use Case-Adadpted Methods and Critical Evaluation

(2022) Oliver Mey et al.   SENSORS

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

(2021) Vishal Monga et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learn Generalized Features Via Multi-Source Domain Adaptation: Intelligent Diagnosis Under Variable/Constant Machine Conditions

(2021) Jin Si et al.   IEEE SENSORS JOURNAL

Fault diagnosis for small samples based on attention mechanism

(2021) Xin Zhang et al.   MEASUREMENT

Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning

(2021) Xinyu Yang et al.   Journal of Sensors

Pareto-Optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Fault Diagnostics of Machines

(2021) Yaoxiang Yu et al.   IEEE Transactions on Industrial Informatics

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Bearing Running State Recognition Method Based on Feature-to-Noise Energy Ratio and Improved Deep Residual Shrinkage Network

(2021) Xuewu Pei et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

Unsupervised deep transfer learning with moment matching: A new intelligent fault diagnosis approach for bearings

(2020) Jin Si et al.   MEASUREMENT

Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism

(2019) Xiang Li et al.   SIGNAL PROCESSING

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

(2019) John Grezmak et al.   IEEE SENSORS JOURNAL

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet

(2011) Kun Feng et al.   MEASUREMENT