September 23, 2025SensorsOpen Access

Advancements in Induction Motor Fault Diagnosis and Condition Monitoring: A Comprehensive Review

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Rapid identification of faults in induction motors is essential for maintaining operational efficiency and safety.
Data-driven strategies, particularly deep learning, are emerging as powerful tools in fault diagnosis.
The review presents a comprehensive analysis of existing fault detection approaches and their effectiveness in tackling challenges.
Highlighting deficiencies within current methodologies provides a pathway for future research into real-time monitoring systems.

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Implication

This review highlights advancements in fault diagnosis and condition monitoring of induction motors, suggesting enhanced data-driven methods for improved operational efficiency.

Cite This Study

Hamani et al. (2025) studied this question.

synapsesocial.com/papers/68d440a6713b0b5dfea7fee6 https://doi.org/10.3390/s25195942

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Implication

This review highlights advancements in fault diagnosis and condition monitoring of induction motors, suggesting enhanced data-driven methods for improved operational efficiency.

Advancements in Induction Motor Fault Diagnosis and Condition Monitoring: A Comprehensive Review

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Discussion

Implication

Cite This Study

Advancements in Induction Motor Fault Diagnosis and Condition Monitoring: A Comprehensive Review

Key Points

Discussion

Implication

Cite This Study

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