Multi-parameter fusion diagnosis for medium and lower voltage switchgear
cabinet based on UHF and Infrared Camera Method
Abstract
Multi-parameter live detection and fusion diagnosis of medium and lower
voltage switch-gear cabinet (M-LVSC) is an important technology for
identification the operating status of power equipment. Under the
operating conditions, a single sensor(UHF,thermal infrared,ultrasonic
partial discharge detection) in the distribution equipment cannot judge
the complex faults.The objective of this research is to develop fusion
diagnosis and techniques for detect the state of 10kV and 400V
distribution equipment in the switch-gear and its bus, identifying any
abnormal conditions, by the infrared camera method and UHF partial
discharge detection. The condition data of the equipment from these
sensors is collected and analyzed to from the operating conditions by
intelligent monitoring data technology for power distribution
equipment.Under the background of big data cloud platform, overheat
defects and discharge defects were captured and deeply analysis by UHF
and infrared camera method. Fusion diagnosis provides an intelligent
decision scheme for power distribution equipment fault diagnosis under
operating conditions. The fusion recognition by comprehensive detect for
a M-LVSC contactors power line and terminal board were verified in power
distribution site.