摘要
以某火电厂设备状态监测与故障预警为研究对象,重点探讨设备状态监测与故障预警研究过程中,高斯混合算法与K-means算法结合的应用。介绍了该算法系统整体体系结构、研究目标、设计思路、技术要求与技术亮点,分析了设备状态监测与故障预警系统在电厂的应用效果。
Taking the condition monitoring and fault warning of a thermal power plant as researching subject,the application of Gaussian mixture algorithm and K-means algorithm in the research of equipment condition monitoring and fault warning is mainly discussed. It introduces architecture of the whole system,research subjective,design ideas,technical requirements and technical highlights. And it analyzes the application effect of equipment condition monitoring and fault warning system in power plants.
出处
《华电技术》
CAS
2018年第6期7-9,14,共4页
HUADIAN TECHNOLOGY
