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公开(公告)号：US10760977B2
公开(公告)日：2020-09-01
申请号：US15597606
申请日：2017-05-17
Applicant: General Electric Company
Inventor： Subrat Nanda , Douglas David Baptista de Souza , Bruno Paes Leao
Abstract: A monitoring system includes an analytical engine system coupled to a plurality of sensors of an engine system. The analytical engine system is configured to determine a model probability distribution based on model data, determine a distance threshold value of the model probability distribution based at least in part on a threshold percentage, determine a window probability distribution based on window data sampled from the engine system, determine a fraction of the window probability distribution that is greater than the distance threshold value, and generate a lubricant alert signal when the fraction is greater than a temperature anomaly threshold. The model data includes model temperature data and model load data. The window data includes window temperature data and window load data that is based at least in part on feedback from the plurality of sensors during operation of the engine system.
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公开(公告)号：US20180313224A1
公开(公告)日：2018-11-01
申请号：US15583623
申请日：2017-05-01
Applicant: General Electric Company
Inventor： Subrat Nanda , Kurt F. Waldner , Matthew Thomas Krueger
Abstract: A system includes a processor. The processor is configured to identify relevant factors related to a configuration of a power production system comprising a gas turbine system based at least on a fleet data for a fleet of the gas turbine system. The processor is further configured to build one or more risk models configured to derive a probability of achieving a performance level for the configuration based on the relevant factors. The processor is additionally configured to execute the risk models to derive an engineering recommendation, a commercial recommendation, or a combination thereof.
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公开(公告)号：US09997047B2
公开(公告)日：2018-06-12
申请号：US15284057
申请日：2016-10-03
Applicant: General Electric Company
Inventor： Subrat Nanda , Bruno Paes Leao
CPC classification number: G08B21/182 , F01D21/003 , F01D25/18 , F01M11/10 , F01M2011/1473 , F05D2220/32
Abstract: A monitoring system includes an analytical engine system coupled to a sensor of an engine system. The analytical engine system is configured to receive data corresponding to operation of the engine system, to determine a distance metric corresponding to the operating parameters of the engine system, to compare the distance metric for a monitored lubricant temperature to a model threshold, and to generate a lubricant alert signal when the distance metric for the monitored lubricant temperature is greater than the model threshold. The received data includes the monitored lubricant temperature of a bearing and operating parameters of the engine system. The distance metric is based at least in part on the monitored lubricant temperature relative to a lubricant temperature statistical model, which is based at least in part on the operating parameters of the engine system.
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公开(公告)号：US10247762B2
公开(公告)日：2019-04-02
申请号：US14968282
申请日：2015-12-14
Applicant: General Electric Company
Inventor： William Randolph Shinkle , Subrat Nanda
IPC: G01R17/02
Abstract: A monitoring system includes a processor configured to calculate a first distance of a first signal, wherein the first distance represents changes in magnitude of the first signal over a period of time, and wherein the first signal is associated with a desired signal output of a feedback loop system. The processor is configured to receive a second signal from an output of the feedback loop system. The processor is configured to calculate a second distance of the second signal, wherein the second distance represents changes in magnitude of the second signal over the period of time. The processor is configured to determine a first difference between the first distance and the second distance. The processor is configured to provide an error signal indicating an error if the difference exceeds a threshold value.
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公开(公告)号：US20180096582A1
公开(公告)日：2018-04-05
申请号：US15284057
申请日：2016-10-03
Applicant: General Electric Company
Inventor： Subrat Nanda , Bruno Paes Leao
CPC classification number: G08B21/182 , F01D21/003 , F01D25/18 , F01M11/10 , F01M2011/1473 , F05D2220/32
Abstract: A monitoring system includes an analytical engine system coupled to a sensor of an engine system. The analytical engine system is configured to receive data corresponding to operation of the engine system, to determine a distance metric corresponding to the operating parameters of the engine system, to compare the distance metric for a monitored lubricant temperature to a model threshold, and to generate a lubricant alert signal when the distance metric for the monitored lubricant temperature is greater than the model threshold. The received data includes the monitored lubricant temperature of a bearing and operating parameters of the engine system. The distance metric is based at least in part on the monitored lubricant temperature relative to a lubricant temperature statistical model, which is based at least in part on the operating parameters of the engine system.
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Patent Agency Ranking
公开(公告)号：US20150159867A1
公开(公告)日：2015-06-11
申请号：US14097549
申请日：2013-12-05
Applicant: General Electric Company
Inventor： Romano Patrick , Matthew Francis Lemmon , Subrat Nanda , Jonathan David White
CPC classification number: F23M11/00 , F23N1/00 , F23N2025/04 , F23N2041/20 , G01M15/14
Abstract: A system for assessing combustor health during operation of the combustor includes a combustor, a sensor configured to sense combustion dynamics pressure data from the combustor, and a computing device that is in communication with the sensor and configured to receive the combustion dynamics pressure data from the sensor. The computing device is programed to extract a feature from the combustion dynamics pressure data and generate feature values for the feature over a period of time. The computing device is also programmed to generate a cumulative form of the feature that is based on the feature values over a time series and to compare the cumulative form to a historical cumulative form.
Abstract translation: 用于在燃烧器运行期间评估燃烧器健康的系统包括燃烧器，被配置为感测来自燃烧器的燃烧动力学压力数据的传感器，以及与传感器连通并被配置为从燃烧器接收来自燃烧器的燃烧动态压力数据的计算装置 传感器。 编程计算设备以从燃烧动态压力数据中提取特征并且在一段时间内生成特征的特征值。 计算设备还被编程为生成基于时间序列上的特征值的特征的累积形式，并将累积形式与历史累积形式进行比较。
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公开(公告)号：US20180101639A1
公开(公告)日：2018-04-12
申请号：US15289812
申请日：2016-10-10
Applicant: General Electric Company
Inventor： Subrat Nanda , William Randolph Shinkle
CPC classification number: G06N5/022 , G06F17/5009
Abstract: In one embodiment, a processor is configured to execute the instructions to receive a first data comprising sensed operations for one or more turbine systems in a fleet of turbine systems. The sensed operations are sensed via a plurality of sensors disposed in the one or more turbine systems. The processor is also configured to execute the instructions to extract a second data comprising a plurality of events included in a turbine controller event log, to derive at least one sensor model based on the first data, to derive at least one association rule based on the first data, the second data, or a combination thereof, to execute the instructions to derive a combination model by combining the at least one sensor model and the at least one association rule.
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公开(公告)号：US09500563B2
公开(公告)日：2016-11-22
申请号：US14097540
申请日：2013-12-05
Applicant: General Electric Company
Inventor： Romano Patrick , Matthew Francis Lemmon , Subrat Nanda , Jonathan David White , Achalesh Kumar Pandey
CPC classification number: G01M15/14 , F05D2260/80 , F23M11/00 , F23N5/16 , F23N5/242 , F23N2023/48 , F23N2023/54 , F23N2041/20 , F23R3/00 , F23R2900/00005 , Y02T50/677
Abstract: A system for detecting an at-fault combustor includes a sensor that is configured to sense combustion dynamics pressure data from the combustor and a computing device that is in electronic communication with the sensor and configured to receive the combustion dynamics pressure data from the sensor. The computing device is programmed to convert the combustion dynamics pressure data into a frequency spectrum, segment the frequency spectrum into a plurality of frequency intervals, extract a feature from the frequency spectrum, generate feature values for the feature within a corresponding frequency interval over a period of time, and to store the feature values to generate a historical database. The computing device is further programmed to execute a machine learning algorithm using the historical database of the feature values to train the computing device to recognize feature behavior that is indicative of an at-fault combustor.
Abstract translation: 用于检测故障期间燃烧器的系统包括传感器，其被配置为感测来自燃烧器的燃烧动力学压力数据和与传感器电子通信并被配置为从传感器接收燃烧动力学压力数据的计算设备。 计算装置被编程为将燃烧动态压力数据转换成频谱，将频谱分段成多个频率间隔，从频谱中提取特征，在一段时间内在对应的频率间隔内生成特征的特征值 的时间，并存储特征值以生成历史数据库。 计算设备还被编程为使用特征值的历史数据库来执行机器学习算法，以训练计算设备以识别指示故障燃烧器的特征行为。
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公开(公告)号：US20180334917A1
公开(公告)日：2018-11-22
申请号：US15597606
申请日：2017-05-17
Applicant: General Electric Company
Inventor： Subrat Nanda , Douglas David Baptista de Souza , Bruno Paes Leao
Abstract: A monitoring system includes an analytical engine system coupled to a plurality of sensors of an engine system. The analytical engine system is configured to determine a model probability distribution based on model data, determine a distance threshold value of the model probability distribution based at least in part on a threshold percentage, determine a window probability distribution based on window data sampled from the engine system, determine a fraction of the window probability distribution that is greater than the distance threshold value, and generate a lubricant alert signal when the fraction is greater than a temperature anomaly threshold. The model data includes model temperature data and model load data. The window data includes window temperature data and window load data that is based at least in part on feedback from the plurality of sensors during operation of the engine system.
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公开(公告)号：US20170168095A1
公开(公告)日：2017-06-15
申请号：US14968282
申请日：2015-12-14
Applicant: General Electric Company
Inventor： William Randolph Shinkle , Subrat Nanda
IPC: G01R17/02
CPC classification number: G01R17/02
Abstract: A monitoring system includes a processor configured to calculate a first distance of a first signal, wherein the first distance represents changes in magnitude of the first signal over a period of time, and wherein the first signal is associated with a desired signal output of a feedback loop system. The processor is configured to receive a second signal from an output of the feedback loop system. The processor is configured to calculate a second distance of the second signal, wherein the second distance represents changes in magnitude of the second signal over the period of time. The processor is configured to determine a first difference between the first distance and the second distance. The processor is configured to provide an error signal indicating an error if the difference exceeds a threshold value.
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