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公开(公告)号:US20190144136A1
公开(公告)日:2019-05-16
申请号:US16306929
申请日:2017-05-23
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Deepika Sachdeva , Raji Reddy , Chithra Parayalil , Anshul Kaushik , Saratchandra Shanmukh , Venkatesh Rajagopalan
Abstract: A method for determining a condition of a second component of an engine is disclosed wherein the engine includes at least a first component and the second component. The method includes determining a concentration value of a chemical species in an effluent obtained from washing at least a portion of the first component of the engine, inputting the concentration value of the chemical species in a condition assessment model to update the condition assessment model, and estimating the condition of the second component based on an output of the updated condition assessment model. The effluent used herein includes a wash fluid and the chemical species. The second component is different from the first component and the condition assessment model is a representative of a condition of the second component of the engine.
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公开(公告)号:US09404386B2
公开(公告)日:2016-08-02
申请号:US14089995
申请日:2013-11-26
Applicant: General Electric Company
Inventor: Prashanth D'Souza , Venkatesh Rajagopalan
CPC classification number: F01D21/003 , F01D5/005 , G01M5/0016 , G01M5/0033
Abstract: A method comprising the steps of determining normalized delta times of arrival corresponding to a plurality of blades based upon actual times of arrival corresponding to the plurality of blades, and determining static deflections of the plurality of blades by removing effects of one or more common factors from the normalized delta times of arrival corresponding to the plurality of blades.
Abstract translation: 一种方法,包括以下步骤:基于与所述多个刀片相对应的实际到达时间来确定对应于多个刀片的归一化的到达时间的到达次数,以及通过从一个或多个刀片的一个或多个常见因素中除去多个刀片的影响来确定所述多个刀片的静态偏转 对应于多个叶片的归一化的到达时间。
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公开(公告)号:US20140369833A1
公开(公告)日:2014-12-18
申请号:US13916179
申请日:2013-06-12
Applicant: General Electric Company
Inventor: Lijie Yu , Venkatesh Rajagopalan , Sachin Srivastava , Mayank Lalan
IPC: F01D5/12
CPC classification number: F01D11/14 , F01D11/20 , F01D17/02 , F01D21/003 , F01D21/04 , F01D21/045 , F01D21/10 , F01D21/14
Abstract: Systems and methods for blade health monitoring are provided. According to one embodiment of the disclosure, a system may include a feature extraction module and an anomaly detection module in communication with the extraction module. The feature extraction module may be configured to continuously receive blade passing signal data associated with clearance of a blade and pre-process the blade passing signal data. Blade clearance feature data may be extracted from the blade passing signal data prior to transmission to the anomaly detection module. The anomaly detection module may be configured to normalize the blade clearance feature data received from the extraction module, analyze the blade clearance feature data to detect a shift in the clearance of the blade, and determine an abnormality of the blade based on the shift exceeding a predetermined shift threshold.
Abstract translation: 提供了叶片健康监测的系统和方法。 根据本公开的一个实施例,系统可以包括与提取模块通信的特征提取模块和异常检测模块。 特征提取模块可以被配置为连续接收与叶片的间隙相关联的叶片通过信号数据,并且预处理叶片通过信号数据。 刀片间隙特征数据可以在传输到异常检测模块之前从刀片通过信号数据中提取。 异常检测模块可以被配置为对从提取模块接收到的叶片间隙特征数据进行归一化,分析叶片间隙特征数据以检测叶片的间隙中的移动,并且基于超过a的移位来确定叶片的异常 预定移位阈值。
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