An Experimental Study of Sensor-less Fault Diagnosis on Rolling Bearing of Wind Turbine Generator System

DOI

10.2991/ipemec-15.2015.80How to use a DOI?

Keywords

Rolling Bearing; Fault Diagnosis; Sensor-less Detect; Wind Turbine Generator

Abstract

This paper study sensor-less fault diagnosis on rolling bearing of wind turbine generator system, by means of establishing an experiment that can simulate doubly fed wind power generation system, on basis of the mathematical model that reflects magnetic flux density impacts on the electrical signal, using the method of Motor Current Signature Analysis. According to collect the electrical signal and shaft’s made by the generator bearing that works in normal and fault condition, analyzing the fault principle for the bearing of the transmission chain and the fault signal’s feature. The experiment results show that the stator current signal’s feature is familiar with the predicted failure frequency and the characteristic frequency of the main shaft frequency signal When rolling bearing fails, and provide the detecting sensor-less method of rolling bearing wind generator fault detection and diagnosis is feasible as well.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianjiang Shi
AU  - Jiankun Zhang
AU  - Heng Du
AU  - Jingchun Zhang
PY  - 2015/05
DA  - 2015/05
TI  - An Experimental Study of Sensor-less Fault Diagnosis on Rolling Bearing of Wind Turbine Generator System
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 416
EP  - 420
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.80
DO  - 10.2991/ipemec-15.2015.80
ID  - Shi2015/05
ER  -