Fault Diagnosis

Fault diagnosis aims to identify and locate malfunctions in complex systems, improving safety and efficiency. Current research emphasizes developing robust and efficient methods, focusing on deep learning architectures like convolutional neural networks, transformers, and graph neural networks, often incorporating techniques such as transfer learning, domain adaptation, and knowledge distillation to handle data scarcity, noise, and varying operating conditions. These advancements are crucial for various applications, including industrial maintenance, process control, and healthcare, enabling proactive interventions and reducing downtime.

Papers

November 13, 2023

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
Huan Wang, Yan-Fu Li, Konstantinos Gryllias
Timely Survey Technical Challenge Spiking Neural Network Emerging Opportunity Fault Diagnosis Neuronal Dynamic Bio Inspired Neural Network

November 12, 2023

TSViT: A Time Series Vision Transformer for Fault Diagnosis
Shouhua Zhang, Jiehan Zhou, Xue Ma, Susanna Pirttikangas, Chunsheng Yang
Convolutional Neural Network Temporal Feature Fault Diagnosis

November 9, 2023

ABIGX: A Unified Framework for eXplainable Fault Detection and Classification
Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge
Classification Code Unified Framework Fault Diagnosis Fault Classification Interpretable Fault

November 4, 2023

Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis
Ardavan Modarres, Vahid Mohammad-Zadeh Eivaghi, Mahdi Aliyari Shoorehdeli, Ashkan Moosavian
Information Fusion Fault Diagnosis Condition Monitoring Data Fusion Multi Modal Contrastive Representation

October 20, 2023

A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems
Jihoon Chung, Zhenyu Kong
Medical Diagnosis Robotic Assembly Fault Diagnosis Post Fault Trajectory Variational Bayesian Inference Fault Diagnosis Method Sparse Bayesian Learning

August 22, 2023

Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes
Eduardo Fernandes Montesuma, Michela Mulas, Fred Ngolè Mboula, Francesco Corona, Antoine Souloumiac
Multi Source Domain Adaptation Fault Diagnosis Multi Source Unsupervised Domain Adaptation

June 7, 2023

Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal
Martin H. Nielsen, Yufeng Zhang, Changbin Xue, Jian Ren, Yingzeng Yin, Ming Shen, Gert F. Pedersen
Robust Version Fault Diagnosis Failure Detection Antenna Design

June 4, 2023

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis
Jiancheng Zhao, Jiaqi Yue, Liangjun Feng, Chunhui Zhao, Jinliang Ding
Zero Shot Domain Shift Fault Diagnosis Knowledge Space Zero Shot Industrial Fault Diagnosis

April 29, 2023

An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System
Chen Li, Zeyi Liu, Limin Wang, Minyue Li, Xiao He
Fault Diagnosis Intuitionistic Fuzzy Fault Classification

April 26, 2023

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Hao Lu, Adam Thelen, Olga Fink, Chao Hu, Simon Laflamme
Fault Diagnosis Decentralized Agent Industrial Monitoring Client Clustering Diagnosis Algorithm

April 7, 2023

On-site Noise Exposure technique for noise-robust machine fault classification
Wonjun Yi, Jung-Woo Choi
Industrial Disturbing Noise Noisy Data Fault Diagnosis Machine Condition Monitoring Environmental Noise Machine Sound Exposure Data

March 24, 2023

Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules
Jiaqi Qu, Lu Wei, Qiang Sun, Hamidreza Zareipour, Zheng Qian
Convolutional Neural Network Fault Diagnosis Convolutional Block Attention Fault Diagnosis Method Dust Storm

March 15, 2023

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
LeArning Abstract Cyber Physical System Data Stream High Dimension Smart Grid Cyber Physical Fault Diagnosis Post Fault Trajectory Data Driven Fault

February 12, 2023

SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Peng Peng, Hanrong Zhang, Mengxuan Li, Gongzhuang Peng, Hongwei Wang, Weiming Shen
Class Incremental Learning Fault Detection Long Tailed Fault Diagnosis Intelligent Fault Diagnosis Limited Fault

November 17, 2022

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo, Zengxiang Li, Hui Liu, Shubao Zhao, Cheng Hao Jin
Data Heterogeneity Personalized Federated Learning Robot Team Fault Diagnosis Industrial Machine Intelligent Fault Diagnosis

October 13, 2022

Automotive Multilingual Fault Diagnosis
John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg
Fault Diagnosis Multilingual Classification Data Driven Prognostic Multilingual Pre Trained Transformer

August 30, 2022

System Resilience through Health Monitoring and Reconfiguration
Ion Matei, Wiktor Piotrowski, Alexandre Perez, Johan de Kleer, Jorge Tierno, Wendy Mungovan, Vance Turnewitsch
Health Monitoring Fault Diagnosis Prognostic Model Fault Diagnosis Method Model Based Diagnosis System Resilience

May 30, 2022

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research
Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham
Narrative Review DH Research Data Driven Approach Smart Manufacturing Fault Diagnosis Industrial Machine Maintenance Planning

May 27, 2022

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task
Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi
Data Set Domain Generalization Audio Datasets Visual Inspection Anomalous Sound Detection Fault Diagnosis Generalization Technique Domain Generalization Task

April 15, 2022

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
Gang Chen, Yu Lu, Rong Su, Zhaodan Kong
Temporal Logic Signal Temporal Logic Fault Diagnosis Rolling Bearing Machinery Fault Interpretable Fault

Fault Diagnosis

Papers

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities

TSViT: A Time Series Vision Transformer for Fault Diagnosis

ABIGX: A Unified Framework for eXplainable Fault Detection and Classification

Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis

A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems

Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes

Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis

An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis

On-site Noise Exposure technique for noise-robust machine fault classification

Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids

SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery

Automotive Multilingual Fault Diagnosis

System Resilience through Health Monitoring and Reconfiguration

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network