Invention Grant
US08994359B2 Fault detection based on current signature analysis for a generator
有权
基于发电机的当前签名分析的故障检测
- Patent Title: Fault detection based on current signature analysis for a generator
- Patent Title (中): 基于发电机的当前签名分析的故障检测
-
Application No.: US13219753Application Date: 2011-08-29
-
Publication No.: US08994359B2Publication Date: 2015-03-31
- Inventor: Prabhakar Neti , Manoj Ramprasad Shah , Karim Younsi , Mayank Tiwari , Pinjia Zhang
- Applicant: Prabhakar Neti , Manoj Ramprasad Shah , Karim Younsi , Mayank Tiwari , Pinjia Zhang
- Applicant Address: US NY Niskayuna
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Niskayuna
- Agent Jason K. Klindtworth
- Main IPC: G01V3/08
- IPC: G01V3/08 ; G01R31/34 ; F03D7/02 ; F03D7/04

Abstract:
A method of detecting faults in a wind turbine generator based on current signature analysis is disclosed herein. The method includes acquiring a set of electrical signals representative of an operating condition of a generator. Further, the electrical signals are processed to generate a normalized spectrum of electrical signals. A fault related to a gearbox or bearing or any other component associated with the generator is detected based on analyzing the current spectrum.
Public/Granted literature
- US20130049733A1 FAULT DETECTION BASED ON CURRENT SIGNATURE ANALYSIS FOR A GENERATOR Public/Granted day:2013-02-28
Information query