- 专利标题: MODELING TO DETECT GAS TURBINE ANOMALIES
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申请号: EP17200759.3申请日: 2017-11-09
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公开(公告)号: EP3324258A1公开(公告)日: 2018-05-23
- 发明人: FLAVIN, Daniel Joseph , SOPCIC, Paige Marie , FULLER, Jason Dean , CROTHERS, Sarah Lori
- 申请人: General Electric Company
- 申请人地址: 1 River Road Schenectady, NY 12345 US
- 专利权人: General Electric Company
- 当前专利权人: General Electric Company
- 当前专利权人地址: 1 River Road Schenectady, NY 12345 US
- 代理机构: Lee, Brenda
- 优先权: US201615354997 20161117
- 主分类号: G05B23/02
- IPC分类号: G05B23/02
摘要:
A turbine system 10 includes a number of sensors 22, each sensor disposed in a respective location of the turbine system and generating a respective signal, a controller 24 capable of generating a controller output, the controller output being at least partially derived from the respective signal from the number of sensors, and an electronic device including memories storing processor-executable routines, and one or more processors 28, 29 configured to access and execute the one or more routines encoded by the one or more memories 26, 27 wherein the one or more routines, when executed, cause the one or more processors to receive one or more inputs, the inputs being at least one of the respective signals from one of the number of sensors, the controller output, or some combination thereof, and generate an audio output using one or more models that incorporate the one or more inputs.
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