What question did this study set out to answer?

The aim is to develop a complete pipeline for detecting and classifying faults in saturated induction machines using machine learning and finite element modeling.

June 20, 2026Measurement EnergyOpen Access

Faults Detection and Classification in Saturated Induction Machines Based on Machine Learning algorithms and Finite Element Model

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Authors

DYDavid YapeleUniversity of Ngaoundéré SNSametah Macine NgongUniversity of Ngaoundéré FMFonou Serge MaximeUniversity of Ngaoundéré

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Implication

Randomized trial investigates fault detection in induction machines, suggesting effective classification methods in challenging environments.

Key Points

The aim is to develop a complete pipeline for detecting and classifying faults in saturated induction machines using machine learning and finite element modeling.
Simulated eleven faults in a saturated three-phase induction machine and analyzed their effects on key parameters.
Extracted four frequency features during fault simulation and compiled them into a dataset.
Trained multiple machine learning algorithms with statistical evaluations on the dataset to classify each fault.
Tree-based ensemble methods achieved an accuracy of 99% in a clean environment.
In very noisy environments, these methods maintained an accuracy of 70%.
Robustness of the model was confirmed through noise analysis, demonstrating high performance across varying conditions.

Cite This Study

Yapele et al. (2026) studied this question.

synapsesocial.com/papers/6a36309edb0793dc1a537b72 https://doi.org/10.1016/j.meaene.2026.100108

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Implication

Randomized trial investigates fault detection in induction machines, suggesting effective classification methods in challenging environments.

Faults Detection and Classification in Saturated Induction Machines Based on Machine Learning algorithms and Finite Element Model

Discussion

Member takes

Implication

Key Points

Cite This Study

Faults Detection and Classification in Saturated Induction Machines Based on Machine Learning algorithms and Finite Element Model

Discussion

Member takes

Implication

Key Points

Cite This Study

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