Development of a research platform for BEPC II accelerator fault diagnosis

BackgroundBEPC II is an electron–positron collider with a beam energy of 1.89 GeV and luminosity of 1×10 ³³cm ^-2s ^-1. Being a complex accelerator, fault diagnostics both in an accurate manner and in time are often challenging during its operation.
PurposeThe fault diagnosis research platform is capable of locating and resolving faults on time, thus can largely improve the operation of BEPCII by reducing downtime due to machine fault and consequently satisfying the demand for fault diagnosis of a complex system.
MethodsMaking full use of the existing large-scale hardware foundation, abundant data resources and previous experiences, a fault diagnosis research platform was built by applying data mining, machine learning and other related algorithms to carry out specific fault analysis on the entire system.
ConclusionThe fault diagnosis research platform has been developed with implemented functions of data query, statistics and analysis. Partial fault diagnoses of the three subsystems have been realized. The 4W1 power supply fault has been successfully discovered, and effective solutions have been subsequently provided.