US 2017/0363072 A1Published application

Vibration monitoring and diagnosing system for wind power generator

AssigneeDoosan Heavy Industries Construction Co., Ltd

InventorsJong Duk SON, Jeong Hoon LEE, Ki Hak LEE, Seung Man EOM

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Abstract

Disclosed herein is a vibration monitoring and diagnosing system for monitoring conditions of a wind power generator and diagnosing a defective portion thereof using vibration characteristics obtained from acceleration sensors mounted to the wind power generator. A vibration-based defect detecting method may include: collecting vibration data of the wind power generator using the plurality of sensors; extracting a first characteristic value of a time domain based on the vibration data; extracting characteristic values in one or more frequency bands for a location of each sensor in a frequency domain or an envelope frequency domain if the first characteristic value is greater than a preset alarm setting value; and determining that a defect is present when at least one characteristic value of the characteristic values is greater than a preset normal value.

Claims19

Dependent claims

A fault detecting method of detecting a fault in of a wind power generator using vibration data, the fault detecting method comprising:

receiving vibration data of the wind power generator from a plurality of sensors;
extracting a first characteristic value in a time domain based on the vibration data;
determining whether the first characteristic value is greater than an alarm setting value;
and
determining, when the first characteristic value is determined to be greater than the alarm setting value, whether there is the fault by extracting a characteristic value in a frequency domain obtained by performing a Fourier transform operation on the vibration data,
wherein the determining whether there is the fault comprises:
extracting, based on the vibration data received by the plurality of sensors, second characteristic values in the frequency domain, for one or more preset frequency bands by each of the plurality of sensors;
extracting, based on the vibration data received by the plurality of sensors, third characteristic values in an envelope frequency domain for the one or more preset frequency bands by each of the plurality of sensors in an envelope frequency domain;
and
determining that the fault is present when at least one from among a characteristic value of the second characteristic values or a characteristic value of the third characteristic values is equal to or greater than a preset normal value.

7 more elements

A fault detecting system of detecting a fault in a wind power generator including a main bearing, a gearbox, and a generator using vibration data received from a plurality of sensors, the fault detecting system comprising:

a sensor unit comprising a plurality of sensors disposed at the wind power generator, the plurality of sensors being configured to receive the vibration data;
at least one processor configured to implement:
an abnormal state detection unit configured to extract a first characteristic value in a time domain based on the vibration data received by the sensor unit and detect whether the wind power generator is in an abnormal state;
and
a precise diagnosis unit configured to determine, when an abnormal state detection signal is received from the abnormal state detection unit, a location and a kind of a fault by extracting a characteristic value in a frequency domain obtained by performing a Fourier transform operation on the vibration data received by the sensor unit.

2 more elements

Dependencies are inferred from the claim text.