Invention Grant
- Patent Title: Systems and methods for compressor anomaly prediction
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Application No.: US15473776Application Date: 2017-03-30
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Publication No.: US10662959B2Publication Date: 2020-05-26
- Inventor: Sidharth Abrol , Karl Dean Minto , Nisam Palakkavalappil Rahiman , Prabhanjana Kalya , Wrichik Basu , Corey Nicholas Bufi
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Fletcher Yoder, P.C.
- Main IPC: F04D27/00
- IPC: F04D27/00 ; F04D19/02 ; F04D29/32 ; F04D29/52 ; F01D21/14 ; F04D27/02

Abstract:
A non-transitory computer-readable storage medium storing one or more processor-executable instructions wherein the one or more instructions, when executed by a processor of a controller, cause acts to be performed including receiving signals representative of pressure between respective compressor blade tips and a casing of a compressor at one or more stages, generating multiple patterns based on a permutation entropy window and the signals, identifying multiple pattern categories in the multiple patterns, determining a permutation entropy based on the multiple patterns and the multiple pattern categories, predicting an anomaly in the compressor based on the permutation entropy, comparing the multiple pattern categories to determined permutations of pattern categories when an anomaly is present in the compressor, and predicting a category of the anomaly based on the comparison of the multiple pattern categories to the determined permutation of pattern categories.
Public/Granted literature
- US20180283391A1 SYSTEMS AND METHODS FOR COMPRESSOR ANOMALY PREDICTION Public/Granted day:2018-10-04
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