Condition information processing of hydroelectric generating set

The implementation of the hydroelectric equipment condition monitoring and diagnosing system is gradually processing from the theory study towards practical exploitation, and into a further practice in hydropower stations. Generally this work is beginning with vibration monitoring and analysis of hydroelectric generating set (sometimes called Unit). The unit has a combined influence from water, machine, electricity and many other factors. The causes resulted in vibration are complicated. This paper analyzes the vibrating characteristics of hydroelectric generating set with Artificial Neural Network (ANN), and a corresponding model is set up. The purpose is to analyze the vibrating causes of hydroelectric generating set and deal with them earlier so as to ensure the operating safety and stability of hydroelectric generating set.