Partial discharge is discharge where puncturing and quenching take place locally and repeatedly as a result of deterioration of electrical equipment insulator under certain external voltage and is also an indicator of deteriorating insulation. Partial discharge, upon each occurrence, leads to further destruction of the insulation and results in even worse partial discharge next time. Such a vicious circle continues up to the collapse of insulation and when power equipment accidents occur.

 

In light of this, we take the lead and introduce the: ultra-early-stage partial discharge diagnosis and monitoring solution. The digital full-frequency sensor, in combination with a host that is capable of AI dynamic static noise-canceling and features the AI real-time PRPD characteristic identification technology, can effectively detect and determine the type and severity of partial discharge experienced by equipment at the early stage so that the person on duty precisely keeps track of electrical equipment partial discharge and performs adequate maintenance and care, inspection, or replacement to greatly lowers the risk of an accident and to ensure long-term steady operations of high-voltage equipment.