基于随机森林的燃气轮机故障检测方法研究

Research on Gas Turbine Fault Detection Method Based on Random Forest

本文提出一种通过随机森林算法训练组合分类器,对燃气轮机进行故障检测诊断的方法,以提升故障检测的精度,避免过拟合现象,保障燃气轮机稳定安全运行。

This paper presents a method for fault diagnosis of gas turbine by random forest algorithm training combined classifier, to improve the accuracy of fault detection, avoid over-fitting phenomenon and ensure stable and safe operation of gas turbine.