Proceedings of the International Conference on Chemical, Material and Food Engineering

Anomaly Identification of Wind Turbine Gearboxes Based on Similarity Theory

Authors
Xiao Yang, Minglei Hou, Xinli Li, Xiaoliang Fan
Corresponding Author
Xiao Yang
Available Online July 2015.
DOI
10.2991/cmfe-15.2015.200How to use a DOI?
Keywords
gearbox; similarity theory; Anomaly recognition; health model; failure warning
Abstract

Wind turbine condition monitoring and fault warning has important practical value to reduce maintenance costs, improve operational efficiency and reliability. In this paper, the characteristic parameters of SCADA system monitoring, based on the principle of similarity modeling techniques, through reasonable storage matrix construction process, the establishment of the gear box "health model" to cover the gearbox to work space. When the gearbox operation occurs, characterized in health parameters deviate from the model, when the offset distance exceeds the threshold value, the system gives the warning. Finally, the health model was validated, experiments show that the method used in this paper can be found early signs of abnormal gearbox and give warning. The results show that the health model by the similar principle established can identify abnormal state timely and accurately, and warning given before a failure occurs, which makes it easier to advance plans to organize maintenance equipment and personnel, to provide a reference for on-site maintenance.

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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Volume Title
Proceedings of the International Conference on Chemical, Material and Food Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/cmfe-15.2015.200
ISSN
2352-5401
DOI
10.2991/cmfe-15.2015.200How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiao Yang
AU  - Minglei Hou
AU  - Xinli Li
AU  - Xiaoliang Fan
PY  - 2015/07
DA  - 2015/07
TI  - Anomaly Identification of Wind Turbine Gearboxes Based on Similarity Theory
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 848
EP  - 851
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.200
DO  - 10.2991/cmfe-15.2015.200
ID  - Yang2015/07
ER  -