发明名称 Turbine fault prediction
摘要 A system is provided. The system includes an industrial controller configured to control and obtain current parameter data from one or more components of an industrial system. Further, a storage is included and is configured to store historical data comprising parameter data from the one or more components. The system also includes a prediction controller configured to receive the current parameter data from the industrial controller, receive the historical data from the storage, and to generate an overall predictive score based at least in part upon the current parameter data and the historical data. The overall predictive score represents a likelihood of a fault within the industrial process control system.
申请公布号 US9360864(B2) 申请公布日期 2016.06.07
申请号 US201213444763 申请日期 2012.04.11
申请人 General Electric Company 发明人 Thatikonda Ravi Kanth Sai;Nemani Subhash
分类号 F02C9/00;G05B23/02 主分类号 F02C9/00
代理机构 Fletcher Yoder, P.C. 代理人 Fletcher Yoder, P.C.
主权项 1. A system, comprising: a turbine system; an industrial controller configured to control and obtain current parameter data from one or more components of an industrial system, the one or more components comprising the turbine system; a storage configured to store historical data comprising one or more faults and parameter data associated with the faults for the one or more components; a prediction controller configured to: collect the current parameter data relating to the one or more components from the industrial controller;collect the historical data from the storage; andgenerate a trip predictive score, a shutdown predictive score, and a runback predictive score based at least in part upon the current parameter data and the historical data, wherein the trip, shutdown, and runback predictive scores represent a probability of a trip, a shutdown, and a runback, respectively, of the turbine system;wherein generating the trip predictive score, the shutdown predictive score, and the runback predictive score comprises: determining a current trip predictive score, a current shutdown predictive score, and a current runback predictive score based upon the current parameter data;determining a historical trip predictive score, a historical shutdown predictive score, and a historical runback predictive score based upon the historical data; andgenerating the trip predictive score, the shutdown predictive score, and the runback predictive score by combining the current trip, the current shutdown, and the current runback predictive scores to the historical trip, historical shutdown, and historical runback predictive scores, respectively.
地址 Schenectady NY US