Fault detection system of water-wheel generator set

Abstract

The present invention discloses a fault detection system of a water-wheel generator set. The fault detection system of the water-wheel generator set comprises a sensor set, a data processing module, a fault diagnosis module, a man-machine operation module, a centre processor, a physical model building module, a virtual sensor and an expert module. The fault detection system of a water-wheel generator set is able to accurately determine the fault type of a water-wheel generator and the fault position, and perform real-time monitoring and observation of the water-wheel generator set through a physical model.

Description

technical field [0001] The invention relates to a fault detection system for a generator set, in particular to a fault detection system for a hydroelectric generator set. Background technique [0002] In recent years, with the continuous development of hydropower station construction, the proportion of hydropower in the power grid is increasing. Compared with wind power and solar power generation, hydropower has gradually become a conventional and reliable energy source. However, with the increase in the number of hydroelectric generating units and the prolongation of the cumulative use time, due to factors such as hydraulic, mechanical and electrical factors, the failures of the units themselves have also increased correspondingly. These failures are distributed among various equipment and systems in the units. The first fault generated triggers a series of safety actions. Therefore, whether the fault diagnosis speed of the unit can be quickly improved and the hidden dange...

AI Technical Summary

Problems solved by technology

However, with the increase in the number of hydroelectric generating units and the prolongation of the cumulative use time, due to factors such as hydraulic, mechanical and electrical factors, the failures of the units themselves have also increased correspondingly. These failures are distributed among various equipment and systems in the units. The first fault generated triggers a sequence of safety actions

Therefore, whether the speed of unit fault diagnosis can be quickly improved and the hidden dangers of the unit can be quickly checked will directly determine the effective utilization rate of the unit, and even affect the operation quality of the entire hydropower plant

However, according to the existing technology, after the failure of the hydroelectric unit, it is necessary to manually check and diagnose the source of the failure, and it is often impossible to quickly determine the failure of the unit, and it is also impossible to quickly find out the hidden dangers.

Images