Research on the prediction and maintenance strategy of boiler heating surface in thermal power plant
In thermal power plants,the reliability of the boiler heating surface is the main indicator for evaluating its quality,and it is also a key competitive point in the market.In order to prevent damage to the heating surface and avoid serious economic losses,thermal power plants urgently need to make effective maintenance predictions and provide reasonable guidance.By collecting and organizing measured data and applying statistical reasoning principles,the degree of fatigue damage on the heating surface of the boiler was determined,and its reliability and various life indicators were determined based on this.This is to avoid damaging the surface of the heated area and prevent accidents from occurring.This article determines the distribution of boiler hot surface life through the collection and sorting of on-site data.The reliability parameters and life characteristics of the heat source surface were calculated using statistical inference theory.
万方数据
维普
