Novel approach using Hilbert Transform for multiple broken rotor bars fault location detection for three phase...

Area of Science:

• Electrical Engineering
• Mechanical Engineering
• Condition Monitoring

Background:

• Induction motors (IM) are critical in industrial applications.
• Failures like broken rotor bars can lead to significant downtime.
• Early detection of multiple broken rotor bars (MBRBs) is crucial for predictive maintenance.

Purpose of the Study:

• To develop and validate a novel approach for detecting the location of MBRBs in IMs.
• To extend previous single broken rotor bar detection methods to multiple faults.
• To enable early-stage fault diagnosis under various operating conditions.

Main Methods:

• Utilizing the Hilbert Transform to extract fault signatures from the stator current envelope.
• Applying statistical analysis to the extracted low-frequency components.
• Developing a formula for precise fault location identification.

Main Results:

• The proposed technique successfully detects the location of MBRBs.
• The method is validated under both no-load and full-load conditions.
• Fault detection is effective across various severity levels.

Conclusions:

• The developed method offers an effective solution for MBRB location detection in IMs.
• Early fault detection facilitates timely and efficient maintenance scheduling.
• This approach enhances the reliability and operational lifespan of induction motors.