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.

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

IPC: G08B21/18 ,  G01R23/16

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.