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公开(公告)号：US20160327600A1
公开(公告)日：2016-11-10
申请号：US14703533
申请日：2015-05-04
Applicant: General Electric Company
IPC: G01R31/02
CPC classification number: G01R31/027 , H02H7/04
Abstract: Embodiments of the present disclosure relate to an integrated transformer health monitoring architecture and associated processes. In one embodiment, a method can provide: receiving protection data of a transformer from the at least one protection relay device; receiving health monitoring data of the transformer from the at least one monitoring and diagnostics (M&D) device; analyzing the received protection data and the received health monitoring data using a common time reference; monitoring, diagnosing, analyzing, or predicting a failure of the transformer based at least in part on analysis of the received protection data and the received health monitoring data; and generating an instruction to modify operation of the transformer in response to monitoring, diagnosing, analyzing, or predicting a failure of the transformer.
Abstract translation: 本公开的实施例涉及集成的变压器健康监测架构和相关联的过程。 在一个实施例中，一种方法可以提供：从所述至少一个保护中继设备接收变压器的保护数据; 从至少一个监测和诊断（M＆D）设备接收变压器的健康监测数据; 使用公共时间参考来分析所接收的保护数据和所接收的健康监测数据; 至少部分地基于对所接收的保护数据和接收到的健康监测数据的分析来监测，诊断，分析或预测变压器的故障; 以及响应于监视，诊断，分析或预测变压器故障而产生修改变压器的操作的指令。
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公开(公告)号：US12181526B2
公开(公告)日：2024-12-31
申请号：US17796610
申请日：2020-08-11
Applicant: General Electric Company
Inventor： Shahid Ali , Sumitha Mohan , Balakrishna Pamulaparthy
IPC: G01R31/34 , G01M13/00 , G01P3/44 , H02P23/14 , H02P29/024
Abstract: The present disclosure relates to systems and methods for improved anomaly detection for rotating machines. An example method may include determining a rotational speed of a rotating machine; determining, using a frequency domain transform of a signal, a frequency domain signal; determining, based on the rotational speed, a first frequency band within the frequency domain signal for identifying a fault frequency; determining a fault frequency within the first frequency band; determining, based on the fault frequency, a second frequency band within the first frequency band, wherein the second frequency band includes the fault frequency; determining, based on the second frequency band, a first fault index and a baseline of the first fault index; determining, based on a deviation of a second fault index from the baseline, a fault condition; and providing an alert based on the fault condition.
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Patent Agency Ranking
公开(公告)号：US10782360B2
公开(公告)日：2020-09-22
申请号：US15399392
申请日：2017-01-05
Applicant: General Electric Company
Inventor： Balakrishna Pamulaparthy , Vijayasarathi Muthukrishnan , Lubomir Sevov , Balamourougan Vinayagam
Abstract: Embodiments of the disclosure relate to systems and methods for monitoring and diagnosing transformer health. In one embodiment, a system incorporating a diagnostic apparatus for monitoring a power transformer can be provided. Various electrical current sensing elements and a dissolved gas analysis (DGA) apparatus are coupled to the transformer and to the diagnostic apparatus. The diagnostic apparatus can be configured to detect a through-fault in the transformer by executing an electrical current flow analysis based at least in part on electrical current values received from the electrical current sensing elements. The electrical current flow analysis involves comparing a ratio of a differential electrical current value and a restraining electrical current value to a threshold value. The diagnostic apparatus can also use DGA data provided by the DGA apparatus to detect an abnormal gas-related condition in the transformer. A transformer health related signal and/or a control signal that is based on the transformer health data, can be transmitted by the diagnostic apparatus.
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公开(公告)号：US10403116B2
公开(公告)日：2019-09-03
申请号：US15628004
申请日：2017-06-20
Applicant: General Electric Company
Inventor： Prabhakar Neti , Balakrishna Pamulaparthy , Sudhanshu Mishra , Balamourougan Vinayagam , Mitalkumar Kanabar , Vijayasarathi Muthukrishnan
IPC: G08B21/18 , G01R23/16 , G01R31/34 , H02P29/024
Abstract: This disclosure relates to systems and methods for electrical signature analysis of electrical rotating machines. In one embodiment of the disclosure, a method includes ascertaining initial information associated with an electrical rotating machine, assigning a plurality of operational conditions associated with the machine to a plurality of buckets, and recording the electrical data to obtain a pre-defined number of sets of learning data. The method further includes determining, based at least on the initial information and the learning data, that the machine is in a healthy condition, obtaining, based on the learning data, baseline data associated with at the at least one bucket, and generating, based on the baseline data, a threshold associated with the bucket and at least one fault frequency associated with the machine. The method further includes generating, based on the threshold and the baseline data, alarms concerning a state of the electrical rotating machine.
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公开(公告)号：US11835568B2
公开(公告)日：2023-12-05
申请号：US16951998
申请日：2020-11-18
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Balakrishna Pamulaparthy , Ali Shahid , Sumitha Mohan , Rajagopal Kommu , Raju Gurrapu , Sergio Dominguez Ruiz
Abstract: Systems, methods, and computer-readable media are disclosed for monitoring and diagnosing power system assets. An example method may include triggering, by a gateway device and at a first time, a capture of a first waveform from a first intelligent electronic device (IED) associated with a first asset in a power system. The method may also include transmitting, by the gateway device, the capture of the waveform to a remote device. The method may also include extracting fault features from the first waveform corresponding to different failure modes associated with the asset of the power system. The method may also include determining, based on the features extracted from first waveform, that a fault of a first fault mode has occurred in the asset. The method may also include providing an alert that the fault has been identified, wherein the alert initiates or otherwise facilitates a control action in the power system.
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公开(公告)号：US20180365963A1
公开(公告)日：2018-12-20
申请号：US15628004
申请日：2017-06-20
Applicant: General Electric Company
Inventor： Prabhakar Neti , Balakrishna Pamulaparthy , Sudhanshu Mishra , Balamourougan Vinayagam , Mitalkumar Kanabar , Vijayasarathi Muthukrishnan
CPC classification number: G08B21/182 , G01R23/16 , G01R31/343 , H02P29/0241
Abstract: This disclosure relates to systems and methods for electrical signature analysis of electrical rotating machines. In one embodiment of the disclosure, a method includes ascertaining initial information associated with an electrical rotating machine, assigning a plurality of operational conditions associated with the machine to a plurality of buckets, and recording the electrical data to obtain a pre-defined number of sets of learning data. The method further includes determining, based at least on the initial information and the learning data, that the machine is in a healthy condition, obtaining, based on the learning data, baseline data associated with at the at least one bucket, and generating, based on the baseline data, a threshold associated with the bucket and at least one fault frequency associated with the machine. The method further includes generating, based on the threshold and the baseline data, alarms concerning a state of the electrical rotating machine.
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公开(公告)号：US20170115335A1
公开(公告)日：2017-04-27
申请号：US15399392
申请日：2017-01-05
Applicant: General Electric Company
Inventor： Balakrishna Pamulaparthy , Vijayasarathi Muthukrishnan , Lubomir Sevov , Balamourougan Vinayagam
IPC: G01R31/02
Abstract: Embodiments of the disclosure relate to systems and methods for monitoring and diagnosing transformer health. In one embodiment, a system incorporating a diagnostic apparatus for monitoring a power transformer can be provided. Various electrical current sensing elements and a dissolved gas analysis (DGA) apparatus are coupled to the transformer and to the diagnostic apparatus. The diagnostic apparatus can be configured to detect a through-fault in the transformer by executing an electrical current flow analysis based at least in part on electrical current values received from the electrical current sensing elements. The electrical current flow analysis involves comparing a ratio of a differential electrical current value and a restraining electrical current value to a threshold value. The diagnostic apparatus can also use DGA data provided by the DGA apparatus to detect an abnormal gas-related condition in the transformer. A transformer health related signal and/or a control signal that is based on the transformer health data, can be transmitted by the diagnostic apparatus.
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