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    • 1. 发明公开
    • PREDICTING A SURGE EVENT IN A COMPRESSOR OF A TURBOMACHINE
    • 预测涡轮机压气机的喘振事件
    • EP3260703A1
    • 2017-12-27
    • EP17176923.5
    • 2017-06-20
    • General Electric Company
    • SRIVASTAVA, SachinPISTNER, Alexander JamesVARADHAN, RaghavanMOORE, Matthew Everett
    • F04D27/00
    • F04D27/001F05D2220/32F05D2260/81F05D2260/821F05D2260/83F05D2270/101F05D2270/44
    • Systems (200) and methods (300, 400) for predicting a surge event in a compressor (120) of a turbomachine (110) are provided. According to one embodiment of the disclosure, a system (200) may include one or more computer processors (220) associated with the turbomachine (110). The one or more computer processors (220) may be operable to receive a plurality of performance parameters of the compressor (120) and analyze the plurality of performance parameters to determine corrected performance values of the performance parameters. Based at least partially on the corrected performance values, a compressor efficiency may be determined. The processor (220) may be further operable to standardize the compressor efficiency for a standard mode of operation, ascertain historical performance data associated with the standard mode of operation, and analyze the compressor efficiency based at least partially on the historical performance data. Based on the analysis of the compressor efficiency, a surge event may be selectively predicted.
    • 提供了用于预测涡轮机(110)的压缩机(120)中的喘振事件的系统(200)和方法(300,400)。 根据本公开的一个实施例,系统(200)可以包括与涡轮机(110)相关联的一个或多个计算机处理器(220)。 一个或多个计算机处理器(220)可用于接收压缩机(120)的多个性能参数并分析多个性能参数以确定性能参数的校正性能值。 至少部分基于校正的性能值,可以确定压缩机效率。 处理器(220)可进一步可操作以标准化压缩机效率以用于标准操作模式,确定与标准操作模式相关联的历史性能数据,并且至少部分地基于历史性能数据分析压缩机效率。 基于对压缩机效率的分析,可以选择性地预测喘振事件。
    • 2. 发明公开
    • SYSTEMS AND METHODS FOR DETERMINING RISK OF OPERATING A TURBOMACHINE
    • 用于确定手术涡轮机械风险的系统和方法
    • EP3159834A1
    • 2017-04-26
    • EP16194805.4
    • 2016-10-20
    • General Electric Company
    • MOORE, Matthew EverettVITTAL, SameerHEDA, Sanjeev ShyamPISTNER, Alexander James
    • G06Q10/00G06Q10/06
    • G01M15/14G06F17/18G06Q10/0635G06Q10/06395G06Q10/20
    • Systems and methods for determining risk to operating a turbomachine are provided. According to one embodiment of the disclosure, a method (400) may include receiving (402) historical risk profile data associated with a fleet of turbomachines by at least one processor (304) from a repository (302). The method (400) can also include receiving (404) ambient conditions of an environment in which a turbomachine is to be operated. Based at least in part on the historical risk profile data and in view of the ambient conditions, at least one risk threshold for at least one known operating profile can be developed (406). The method (400) may continue with determining (408) that the at least one risk threshold for the at least one known operating profile is reached. Based at least in part on a determination that the at least one risk threshold is reached, a mitigating action associated with the turbomachine can be taken (410).
    • 提供了确定操作涡轮机的风险的系统和方法。 根据本公开的一个实施例,方法(400)可以包括通过至少一个处理器(304)从储存库(302)接收(402)与涡轮机群相关联的历史风险概况数据。 方法(400)还可以包括接收(404)涡轮机将被操作的环境的环境条件。 至少部分地基于历史风险简档数据并且鉴于环境条件,可以开发至少一个已知操作简档的至少一个风险阈值(406)。 方法(400)可继续确定(408)达到至少一个已知操作简档的至少一个风险阈值。 至少部分地基于确定达到至少一个风险阈值,可以采取与涡轮机相关联的减轻动作(410)。