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Lookup NU author(s): Dr Bin Gao, Dr Wai Lok Woo, Professor Gui Yun TianORCiD, Jian Liu, Dr Yihua Hu
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Condition monitoring (CM), fault diagnosis (FD), and nondestructive testing (NDT) are currently considered crucialmeans to increase the reliability and availability of wind turbines. Many research works have focused on CM and FDfor different components of wind turbine. Gear is typically used in a wind turbine. There is insufficient space to locate the sensors for long-term monitoring of fatigue state of gear, thus, offline inspection using NDT in both manufacturing and maintenance processes are critically important. This paper proposes an inductive thermography method for gear inspection. The ability to track the properties variation in gear such as electrical conductivity, magnetic permeability, and thermal conductivity has promising potential for the evaluation of material state undertaken by contact fatigue. Conventional thermography characterization methods are built based on single physical field analysis such as heat conduction or in-plane eddy current field. This study develops a physics-based multidimensional spatial-transientstage tensor model to describe the thermo optical flow pattern for evaluating the contact fatigue damage. A helical gear with different cycles of contact fatigue tests was investigated and the proposed method was verified. It indicates that the proposed methods are effective tool for gear inspection and fatigue evaluation, which is important for early warning and condition-based maintenance.
Author(s): Gao B, He YZ, Woo WL, Tian GY, Liu J, Hu YH
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Industrial Electronics
Year: 2016
Volume: 63
Issue: 10
Pages: 6305-6315
Print publication date: 01/10/2016
Online publication date: 21/06/2016
Acceptance date: 18/04/2016
Date deposited: 28/11/2016
ISSN (print): 0278-0046
ISSN (electronic): 1557-9948
Publisher: IEEE
URL: http://dx.doi.org/10.1109/TIE.2016.2574987
DOI: 10.1109/TIE.2016.2574987
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