ReviewSensors (Basel, Switzerland)2021
Data-Driven Fault Diagnosis for Electric Drives: A Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed.
- A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis.Sensors (Basel, Switzerland) · 2026Article
- Fault Diagnosis of Rolling Bearings Based on HFMD and Dual-Branch Parallel Network Under Acoustic Signals.Sensors (Basel, Switzerland) · 2025Article
- Multi scale convolutional neural network combining BiLSTM and attention mechanism for bearing fault diagnosis under multiple working conditions.Scientific reports · 2025Article
- Discriminative fault diagnosis transfer learning network under joint mechanism.Scientific reports · 2025Article
- Article
- Accelerated Fatigue Test for Electric Vehicle Reducer Based on the SVR-FDS Method.Sensors (Basel, Switzerland) · 2024Article
- Improved RAkEL's Fault Diagnosis Method for High-Speed Train Traction Transformer.Sensors (Basel, Switzerland) · 2023Article
- A Low Complexity Rolling Bearing Diagnosis Technique Based on Machine Learning and Smart Preprocessing.Sensors (Basel, Switzerland) · 2023Article
- GRU-Based Denoising Autoencoder for Detection and Clustering of Unknown Single and Concurrent Faults during System Integration Testing of Automotive Software Systems.Sensors (Basel, Switzerland) · 2023Article
- Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data.Sensors (Basel, Switzerland) · 2023Article
- Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings.Micromachines · 2023Article
- Weak Fault Feature Extraction Method Based on Improved Stochastic Resonance.Sensors (Basel, Switzerland) · 2022Article
- Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems.Sensors (Basel, Switzerland) · 2022Article
- Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence.Sensors (Basel, Switzerland) · 2022Article
- An experimental method for diagnostic of incipient broken rotor bar fault in induction machines.Heliyon · 2022Article
- Early Fault Diagnosis Method for Batch Process Based on Local Time Window Standardization and Trend Analysis.Sensors (Basel, Switzerland) · 2021Article
- CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles' Machine.Sensors (Basel, Switzerland) · 2021Article
- Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has shifted to massively acquire operational data, which can be processed to extract really valuable information with the help of Machine Learning or Deep Learning techniques. As a result, classical Condition Monitoring methodologies, such as model- and signal-based ones are being overcome by data-driven approaches. Therefore, the current paper provides a review of these data-driven active supervision strategies implemented in electric drives for fault detection and diagnosis (FDD). Hence, first, an overview of the main FDD methods is presented. Then, some basic guidelines to implement the Machine Learning workflow on which most data-driven strategies are based, are explained. In addition, finally, the review of scientific articles related to the topic is provided, together with a discussion which tries to identify the main research gaps and opportunities.
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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.