Adaptive Maintenance Technology for Abnormal Operation of Equipment / Working Condition

Abstract

In the operation and maintenance process of large pumped storage power station, the hidden defects are difficult to find in advance, which characterized by the mismatch between monitoring signal and equipment working condition / equipment state, or abnormal operation efficiency of equipment working condition / equipment state. And the computer monitoring system can only be used as a tool for fault confirmation. Adaptive intelligent maintenance technology for abnormal operation of equipment / working condition is proposed in this paper. The changes of multiple monitoring signals is got in the statistical period according to the specified action conditions. This statistical period is adaptively compared with the change time of the previous statistical period. It provides an important automatic detection method for the computer monitoring system to identify the hidden defect in advance. In addition, the standard methods of the command action test for the feedback loop, the execution loop and the command loop of the monitor equipment are provided in this paper.