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Related Experiment Video

Updated: Aug 19, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive.

Cuong Dinh Tran¹, Martin Kuchar², Martin Sobek²

¹Power System Optimization Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam.

Sensors (Basel, Switzerland)

|November 26, 2022

Summary

This study introduces a new method to detect current and speed sensor failures in induction motor drives (IMD). The approach enhances reliability by prioritizing fault detection and ensuring stable operation.

Keywords:

FOC current sensorless fault diagnosis fault-tolerant control speed sensorless

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Area of Science:

Electrical Engineering
Control Systems
Power Electronics

Background:

Induction motor drives (IMD) are crucial in industrial applications.
Sensor failures in IMDs can lead to operational instability and damage.
Existing fault detection methods may lack reliability due to signal quality issues.

Purpose of the Study:

To propose a novel, reliable diagnosis method for current and speed sensor failures in IMDs.
To enhance the robustness of fault detection algorithms by prioritizing fault types.
To ensure the stable operation of IMDs despite sensor malfunctions.

Main Methods:

A diagnosis method based on rotor slip estimation for current sensor fault detection.
Utilizing field-oriented control (FOC) features and measured currents/reference speed as inputs.
Implementing a speed sensor fault detection function using reference speed, estimated speed (sliding mode), and measured rotor speeds.
Employing a priority-based fault determination to enhance diagnostic reliability.

Main Results:

The proposed method effectively detects both current and speed sensor failures in IMDs.
Simulations and experimental results confirm the feasibility and effectiveness of the diagnosis technique.
The method successfully maintains stable IMD operation even with sensor faults.

Conclusions:

The novel rotor slip-based diagnosis method reliably detects sensor failures in induction motor drives.
The priority-based fault detection enhances diagnostic accuracy and system reliability.
The technique ensures the continued stable operation of IMDs, validated by simulations and experiments.