Incipient arc detection of large DC motors based onan arcing-model matched filter response

摘要

Arcing in a high-energy system has a detrimental effect on the operational performance, energy efficiency, life cycle and operating and support costs of a facility. It can occur in motors, switching networks, and transformers and can pose a serious threat to the humans who operate the equipment. In order to reduce operational risk, it is necessary to develop a capability to diagnose and identify single and multiple (entrained) arcing events to provide an effective measure (or grading) of system arcing. This calculated parameters can then be normalized to process operation to provide an effective measure of system health. This paper details the development of a model-based matched filter that identifies single and/or multiple arcing events in a direct current (DC) motor and calcualtes a functional measure of activity that can be used to develop a graded response function for system performance.