Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Research of Wind Turbine Drive System Fault Diagnosis of Mechanical and Electrical Simulation Mode

Authors
Xianjiang Shi, Jingchun Zhang, Jiankun Zhang, Heng Du
Corresponding Author
Xianjiang Shi
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.73How to use a DOI?
Keywords
wind generators; stator electrical signal; gear fault; fault diagnostic; simulation
Abstract
In order to study a method of diagnosing wind turbine gear fault by generator electrical signal and extend its field of application. A typical doubly-fed wind turbine is taken as object. The gear pair dynamics model and the mathematical model of generator unit are established on the basis of considering the gear mesh stiffness changes and broken gear fault characteristics. The model of doubly-fed generator and its control system are also built. These two models are interrelated through rotational speed parameter of gear pair and generator. Electrical and mechanical joint simulation model is set, which simulates current of stator at normal and fault state. Current fault characteristics are analyzed when the gear is normal or have a tooth broke in theory. A set of simulation test bench are established, wind turbine gear fault simulation experiment is operated. Collected current and voltage signals from the experiment are compared with rotate speed signal, which can verify the feasibility of the stator current method. Simulation results are compared with fault test simulation.
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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xianjiang Shi
AU  - Jingchun Zhang
AU  - Jiankun Zhang
AU  - Heng Du
PY  - 2016/01
DA  - 2016/01
TI  - Research of Wind Turbine Drive System Fault Diagnosis of Mechanical and Electrical Simulation Mode
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 296
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.73
DO  - https://doi.org/10.2991/icaita-16.2016.73
ID  - Shi2016/01
ER  -