摘要
描述了基于多类数据及模型融合的设备评价分析方法,该方法通过结合了环境信息、运行信息、同类设备缺陷信息、在线监测等多类数据,以及通过融合了专家评价、故障模式诊断评价两个设备状态评价模型。针对不同的设备状态评价结果,为设备制定一系列的切合设备健康状况的设备运行维护策略提供支撑,制定更全面合理的运行维护策略,提高设备诊断水平,实现减小电网设备安全隐患、降低经济开支的目标。
This article descrihes the fusiun model based on class data and equipment evaluation analysis method, this method by combining the environmental information, operation information, similar equipment defect information, on - line monitoring data, and through a blend of expert evaluation, fauh diagnostic status evaluation model for evaluation of two models. Device status according to different assessment results, a series of relevant equipment for equipment support the health of the equipment operation maintenance strategy, dew.lop a more comprehensive and reasonable operation maintenance strategy, improve the level of equipment diagnosis, achieve reduce power grid equipment security hidden dariger, to reduce the economic costs of target.
出处
《电力大数据》
2017年第9期14-16,共3页
Power Systems and Big Data
关键词
状态检修
状态评价
专家评价
模糊评价
故障模式诊断
The state overhaul
State evaluation
Expert evaluation
Fuzzy evaluatiun
Fault mode diagnosis
