This repository contains papers, code, and datasets related to multi-modal-based fault diagnosis.
We will keep updating this library.
Year | Index | Title | Link |
---|---|---|---|
2024 | 1 | Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review | [Measurement 2024] |
2022 | 2 | A scoping review on multi‑fault diagnosis of industrial rotating machines using multi‑sensor data fusion | [Artificial Intelligence Review 2022] |
2020 | 3 | Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review | [IJEM 2020] |
2018 | 4 | Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review | [IJAMT 2018] |
Year | Index | Title | modal |
---|---|---|---|
2024 | 1 | Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions | vibration signal+infrared image |
2 | Multi-sensor multi-mode fault diagnosis for lithium-ion battery packs with time series and discriminative features | current+voltage+temperature | |
3 | Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data | vibration signal+infrared image | |
4 | A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal | vibration signal+current signal | |
5 | Multi-sensor fusion fault diagnosis method of windturbine bearing based on adaptive convergent viewable neural networks | vibration signal+acoustic signal | |
2023 | 6 | A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions | vibration signal+acoustic signal |
7 | AI-enabled and multimodal data driven smart health monitoring of wind power systems: A case study | image+acoustic | |
8 | Online Fault Diagnosis of Harmonic Drives Using Semi-supervised Contrastive Graph Generative Network via Multimodal data | motor encoder+hall current sensor. | |
9 | Cross-modal Fusion Convolutional Neural Networks with Online Soft Label Training Strategy for Mechanical Fault Diagnosis | acoustic+vibration | |
10 | An Online Multiple Open-Switch Fault Diagnosis Method for T-Type Three-Level Inverters Based on Multimodal Deep Residual Filter Network | current + voltage | |
11 | Multi-modal information analysis for fault diagnosis with time-series data from power transformer | infrared image+dissolved gas data | |
12 | Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection using Machine Learning | Infrared image+vibration | |
13 | A Residual Multihead Self-Attention Network Using Multimodal Shallow Feature Fusion for Motor Fault Diagnosis | vibration signal+current signal | |
2022 | 14 | Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot | inertial measurement unit+encoder |
15 | Bearing fault diagnosis method based on attention mechanism and multilayer fusion network | vibration signal+current signal | |
16 | Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features | vibration+sound+ thermal | |
17 | A Multisensor Information Fusion Method for High-Reliability Fault Diagnosis of Rotating Machinery | Infrared image+vibration | |
18 | Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle | vibration signal+acoustic signal | |
19 | Multiview enhanced fault diagnosis for wind turbine gearbox bearings with fusion of vibration and current signals | vibration signal+current signal | |
20 | A multi–modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network | thermal images+current+power measurements | |
2021 | 21 | Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network | vibration signal+acoustic signal |
22 | Novel Three-Stage Feature Fusion Method of Multimodal Data for Bearing Fault Diagnosis | vibration signal+ torque signals | |
23 | A Fusion CWSMM-based Framework for Rotating Machinery Fault Diagnosis under Strong Interference and Imbalanced Case | Infrared image+vibration | |
2020 | 24 | Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor | vibration signal+current signal |
2019 | 25 | Multilevel Information Fusion for Induction Motor Fault Diagnosis | vibration signal+current signal |
26 | Thermal Imaging and Vibration-Based Multisensor Fault Detection for Rotating Machinery | Infrared image+vibration | |
2018 | 27 | Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data | vibration signal+acoustic signal |
2016 | 28 | Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals | vibration signal+acoustic signal |
Year | Index | Title | modal |
---|---|---|---|
2024 | 1 | MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios | Vibration |
2 | Cross-Sensor Correlative Feature Learning and Fusion for Intelligent Fault Diagnosis | Vibration | |
2023 | 3 | MIM-Graph: A multi-sensor network approach for fault diagnosis of HSR Bogie bearings at the IoT edge via mutual information maximization | Vibration |
4 | Multi-sensor information fusion and coordinate attention-based fault diagnosis method and its interpretability research | Vibration | |
5 | A signal-to-image fault classification method based onmulti-sensor data for robotic grinding monitoring | Vibration | |
6 | A fault diagnosis method based on feature-level fusion of multi-sensor information for rotating machinery | Vibration | |
2022 | 7 | Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network | Vibration |
8 | Bearing Fault Diagnosis Method Based on Complementary Feature Extraction and Fusion of Multisensor Data | Vibration | |
9 | Mix-VAEs: A novel multisensor information fusion model for intelligent fault diagnosis | Vibration | |
2021 | 10 | A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance | Vibration |
11 | Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression | Vibration |
Type | Index | Year | Dataset Name | Component | Sensor Number | Modality | Data Link |
---|---|---|---|---|---|---|---|
Homogenous sensor | 1 | 2015 | CWRU | Bearing | 2 | vibration | [data link] |
2 | 2016 | KAT | Bearing | vibration | [data link] | ||
3 | 2019 | SEU | Gearbox | vibration | [data link] | ||
4 | 2019 | DIRG | Bearing | vibration | [data link] | ||
Heterogeneous sensor | 5 | 1996 | Mill | / | [data link] | ||
6 | 2023 | iFLYTEKbearing | Bearing | vibration+acoustic | [data link] | ||
7 | 2024 | HUSTmotor | motor | 2 | vibration+acoustic | [data link] |
If you have any problem, please feel free to contact me.
Name: Chao Zhao
Email address: [email protected]