The Research Of Life Prediction Method On Boiler Powder Feeding System

With the decline of quality of coal, in power plant, equipment using coal powder get accelerated old especially easily-abrased equipment. In order to choose right moment to replace them, optimization replacing project is advised here, which can confirm the frequency and time interval of the leak in the useful period of equipment in the future. In this article ARMA mode which is a classical time series analyzing mode and Neural Network Method which is a modern time series analyzing mode are combined to analyze this project. It uses the historical records which happened before to forecast the frequency and the time of the leak that equipment will happen in the future. And according to LCC technology, we can get the accurate useful life of the equipment and make effective equipment maintenance plan, which be the case of state maintenance and predicted maintenance.