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Multidimensional Tensor-Based Inductive Thermography With Multiple Physical Fields for Offshore Wind Turbine Gear Inspection

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.

Publication metadata

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


DOI: 10.1109/TIE.2016.2574987


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Funder referenceFunder name
61401071National Natural Science Foundation of China
61501483National Natural Science Foundation of China
61527803National Natural Science Foundation of China
269202EU FP7 through Health Monitoring of Offshore Wind Farms
51377015National Natural Science Foundation of China
EP/F06151X/1Engineering and Physical Sciences Research Council, U.K., through Future Reliable Renewable Energy Conversion Systems and Networks: A collaborative U.K. China project
F011404National Natural Science Foundation of China
U1430115National Natural Science Foundation of China