Stray Flux Sensor Core Impact on the Condition Monitoring of Electrical Machines

Area of Science:

• Electrical Engineering
• Condition Monitoring

Background:

• Stray flux analysis is a modern technique for electrical machine condition monitoring.
• It enables detection of various faults like inter-turn, broken rotor bars, and mechanical issues.
• Coreless flux sensors are standard but can yield low signal amplitudes, similar to noise.

Purpose of the Study:

• To investigate the use of iron core stray flux sensors for electrical machine condition monitoring.
• To compare the performance of iron core sensors against traditional coreless sensors.

Main Methods:

• Tested two types of iron core stray flux sensors and one coreless flux sensor.
• Conducted extensive experimental testing to evaluate sensor performance.

Main Results:

• Iron core sensors provide a stronger measured electromotive force (EMF).
• Sensors with iron cores demonstrated superior sensitivity and performance compared to coreless sensors.
• This is particularly advantageous for large machines in noisy environments.

Conclusions:

• Iron core stray flux sensors are more effective for condition monitoring than coreless sensors.
• The enhanced signal strength of iron core sensors improves fault detection capabilities.
• This technology offers a low-cost, non-invasive solution for robust electrical machine health assessment.