公开(公告)号：WO2022035423A1

公开(公告)日：2022-02-17

申请号：PCT/US2020/045769

申请日：2020-08-11

Applicant: GENERAL ELECTRIC COMPANY

Inventor： ALI, Shadid ,  MOHAN, Sumitha ,  PAMULAPARTHY, Balakrishna

IPC: H02P29/024 ,  H02P23/14 ,  H02P21/18 ,  G01R31/34 ,  G05B23/02

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. The example method may also include determining, using a frequency domain transform of a signal of the rotating machine, a frequency domain signal. The example method may also include determining, based on the rotational speed of the rotating machine, a first frequency band within the frequency domain signal for identifying a fault frequency of the rotating machine. The example method may also include determining a fault frequency of the rotational machine within the first frequency band. The example method may also include determining, based on the fault frequency, a second frequency band within the first frequency band, wherein the second frequency band includes the fault frequency. The example method may also include determining, based on the second frequency band, a first fault index and a baseline of the first fault index. The example method may also include determining, based on a deviation of a second fault index from the baseline, a fault condition of the rotating machine. The example method may also include providing an alert based on the fault condition of the rotating machine.

公开(公告)号：WO2017146877A1

公开(公告)日：2017-08-31

申请号：PCT/US2017/015810

申请日：2017-01-31

Applicant: GENERAL ELECTRIC COMPANY

Inventor： PAMULAPARTHY, Balakrishna ,  MUTHUKRISHNAN, Vijayasarathi ,  VINAYAGAM, Balamourougan ,  SEVOV, Lubomir

IPC: G01R31/02 ,  H02H7/04 ,  H01F27/40 ,  G01N33/28

CPC classification number: H02H7/042 ,  G01N33/2841 ,  G01R31/027 ,  G01R31/44 ,  H01F27/402 ,  H02H5/041 ,  H02H5/06 ,  H02H5/086

Abstract: The present invention provides monitoring and diagnosing of transformer health, wherein electrical current sensing elements (110, 130) and a dissolved gas analysis (DGA) apparatus (170) are coupled to the transformer (120) and to a diagnostic apparatus (175). The diagnostic apparatus (175) is configured to detect a through-fault in the transformer by executing an electrical current flow analysis based on electrical current values received from the electrical current sensing elements (110, 130). The diagnostic apparatus also uses DGA data provided by the DGA apparatus (170) to detect an abnormal gas-related condition in the transformer (120). A transformer health related signal and/or a control signal that is based on the transformer health data, is transmitted by the diagnostic apparatus (175).

Abstract translation: 本发明提供了变压器健康监测和诊断，其中电流感测元件（110,130）和溶解气体分析（DGA）装置（170）耦合到变压器（120），并且 到诊断设备（175）。 诊断设备（175）被配置为通过基于从电流感测元件（110,130）接收的电流值执行电流分析来检测变压器中的通过故障。 诊断装置还使用由DGA装置（170）提供的DGA数据来检测变压器（120）中异常的气体相关状况。 基于变压器健康数据的变压器健康相关信号和/或控制信号由诊断装置（175）发送。