AI Based Ultrasound Testing for Switchgear
AI system that automatically classify corona, surface discharge and arcing inside switchgear.
Ultrasound inspection is traditionally used to detect abnormal crackling and buzzing signal that indicate defects such as arcing and surface discharge within swichgear. However, accurate diagnosis relier heavily on the experience and subjective interpretation of inspectors, often leading to inconsistent assessment between experts.
"AI Based Ultrasound Testing for Switchgear" overcomes this limitation with an intelligent automated system that precisely classifies corona, surface discharge, and arcing events inside a switchgear. By delivering consistent and reliable diagnostics, this system enhances asset uptime while significantly reducing unplanned outages and maintenance cost.
Ir. Dr. Avinash Ashwin Raj a/l Raja Gopal
Principal Researcher
Ahmad Mumtaz Ali
Manager, Technology Commercialization