Neural Network Based Condition Forecasting Technology And Its Application To Feed Water Pump

As the important integrant of the Operating and Maintenance Workstation, the condition forecasting of power generating equipment accepts condition report coming from various monitoring and diagnosing system or personnel on the site, forecasts the developing trend of equipment, evaluates the condition of equipment and arranges the schedule and items of maintenance rationally according to the results of forecasting, which has great signification to maintenance decision-making of power generating equipment. In recent yeas, the successful using of neural network based forecasting in many fields has exploited new way for the development of condition forecasting technology of power generating equipment.This paper analyzed the basic problems of neural network based condition forecasting of power generating equipment, the developing rule of equipment and concrete realization method of condition forecasting on the basis of analyzing the neural network algorithms, put forward combination forecasting model according to operating characteristic of power generating equipment and developed a set of condition forecasting software of power generating equipment.The feed water pump of boiler is one of important equipment of boiler unit. The invalidation of it will bring large economic loss. It has important real signification to study the condition forecasting of feed water pump, advance the safety and reliability of operation of feed water pump and to develop condition maintenance to feed water pump. Therefore, this paper applied the study fruit of neural network based condition forecasting technology to the condition forecasting of master feed water pump and hydraulic coupling. This provides new idea or method for condition forecasting of other power generating equipment.