Research and Implementation of Power Acquisition Fault Recognition System based on Data Mining

摘要

At present, the work of acquisition system for fault treatment and elimination is still rely on manual process, it costs a large number of daily time and energy in term of the low efficiency. As the warning mechanism is not perfect, it is often only after the occurrence of the fault, the worker can have a process about the fault, which has a negative impact on the stable operation of the acquisition system. It is necessary to establish the system of automatic operation and maintenance. This paper mainly studies and implements a data mining based acquisition fault warning system, and the accuracy of the identification and early warning of the failure can reach to 97%, about 33% than the old system. The system has improved efficiency and recognized by the worker.