ReviewSensors (Basel, Switzerland)2023
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Towards a Resilience-Oriented Framework for Fault Diagnosis Under Varying Operating Conditions.Sensors (Basel, Switzerland) · 2026Article
- Symmetrized Dot Patterns and CNN-Based Acoustic Signal Analysis for Fault Diagnosis in Internal Combustion Engines.Sensors (Basel, Switzerland) · 2026Article
- Benchmarking Modern Deep Learning Models for Electroluminescence-Based Solar Cell Defect Detection.Sensors (Basel, Switzerland) · 2026Article
- Multimodal semantic learning for early fault diagnosis in warp knitting machines via masked fault modeling.Scientific reports · 2026Article
- A Dual-Channel Enhanced Mamba Model for Fault Detection in Grid-Connected Photovoltaic Systems.Sensors (Basel, Switzerland) · 2026Article
- Federated Learning Based on Fuzzy Fusion Rules for Chemical Production Process Fault Diagnosis.Sensors (Basel, Switzerland) · 2026Article
- Reliability-Guided Adaptive Feature Fusion Network for Noise-Robust Bearing Fault Diagnosis.Sensors (Basel, Switzerland) · 2026Article
- MSQPSO-Optimized MSCC-CAE for Sensor Fault Detection and Localization in Small Modular Reactors.Sensors (Basel, Switzerland) · 2026Article
- An optimized ensemble framework for machinery fault detection in IoT environments.Scientific reports · 2026Article
- Condition-Adaptive CNN with Spatiotemporal Fusion for Enhanced Motor Fault Diagnosis.Sensors (Basel, Switzerland) · 2026Article
- WeldVGG: A VGG-Inspired Deep Learning Model for Weld Defect Classification from Radiographic Images with Visual Interpretability.Sensors (Basel, Switzerland) · 2025Article
- Advancing real-time validation of automotive software systems via continuous integration and intelligent failure analysis.Scientific reports · 2025Article
- Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion.Sensors (Basel, Switzerland) · 2025Article
- High precision control moment gyroscope fault diagnosis via joint attention mechanism.Scientific reports · 2025Article
- Comprehensive Exploitation of Time- and Frequency-Domain Information for Bearing Fault Diagnosis on Imbalanced Datasets via Adaptive Wavelet-like Transform General Adversarial Network and Ensemble Learning.Sensors (Basel, Switzerland) · 2025Article
- An Optimized Maximum Second-Order Cyclostationary Blind Deconvolution and Bidirectional Long Short-Term Memory Network Model for Rolling Bearing Fault Diagnosis.Sensors (Basel, Switzerland) · 2025Article
- Forecasting the trend of tuberculosis incidence in Anhui Province based on machine learning optimization algorithm, 2013-2023.BMC pulmonary medicine · 2024Article
- Development of Multimodal Fusion Technology for Tomato Maturity Assessment.Sensors (Basel, Switzerland) · 2024Article
- Transmission Line Fault Classification Based on the Combination of Scaled Wavelet Scalograms and CNNs Using a One-Side Sensor for Data Collection.Sensors (Basel, Switzerland) · 2024Article
- Improving the Efficiency of Fan Coil Units in Hotel Buildings through Deep-Learning-Based Fault Detection.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Fault diagnosis and prognosis (FDP) tries to recognize and locate the faults from the captured sensory data, and also predict their failures in advance, which can greatly help to take appropriate actions for maintenance and avoid serious consequences in industrial systems. In recent years, deep learning methods are being widely introduced into FDP due to the powerful feature representation ability, and its rapid development is bringing new opportunities to the promotion of FDP. In order to facilitate the related research, we give a summary of recent advances in deep learning techniques for industrial FDP in this paper. Related concepts and formulations of FDP are firstly given. Seven commonly used deep learning architectures, especially the emerging generative adversarial network, transformer, and graph neural network, are reviewed. Finally, we give insights into the challenges in current applications of deep learning-based methods from four different aspects of imbalanced data, compound fault types, multimodal data fusion, and edge device implementation, and provide possible solutions, respectively. This paper tries to give a comprehensive guideline for further research into the problem of intelligent industrial FDP for the community.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.