What question did this study set out to answer?

The aim is to review and compare recent approaches to diagnosing bearing faults in electric motors, focusing on signal analysis and AI applications.

April 3, 2026EnergiesOpen Access

Bearing Fault Diagnosis in Electric Motors: A Structured Review of Recent Methods and Engineering Trends

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Authors

JWJianwei WuZhejiang University MFMinjie FuZhejiang University YFYoutong FangZhejiang University

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Implication

This review highlights recent methods for diagnosing bearing faults in electric motors, suggesting key trends and challenges for practical applications.

Key Points

The aim is to review and compare recent approaches to diagnosing bearing faults in electric motors, focusing on signal analysis and AI applications.
Structured review of recent diagnostic methods for bearing faults in electric motors
Emphasis on vibration and motor current signals for analysis
Organization of approaches based on fault mechanism modeling and data-driven learning
Summary of data augmentation and meta-learning techniques for small samples
Comparative analysis of trends and challenges in practical engineering scenarios
Identification of critical challenges in diagnosing bearing faults under complex conditions
Insight into emerging trends and methods for effective fault detection
Comparison of traditional techniques with data-driven AI methods
Highlighting the importance of feature extraction and learning in diagnosis

Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e745a333a821460cd1c https://doi.org/10.3390/en19071717

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Implication

This review highlights recent methods for diagnosing bearing faults in electric motors, suggesting key trends and challenges for practical applications.

Bearing Fault Diagnosis in Electric Motors: A Structured Review of Recent Methods and Engineering Trends

Discussion

Member takes

Implication

Key Points

Cite This Study

Bearing Fault Diagnosis in Electric Motors: A Structured Review of Recent Methods and Engineering Trends

Discussion

Member takes

Implication

Key Points

Cite This Study

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