Thermal pattern contrast diagnostic of microcracks with induction thermography for aircraft braking components

Yizhe Wang, Bin Gao, Wai Lok Woo, Guiyun Tian, Xavier Maldague, Li Zheng, Zheyou Guo, Yuyu Zhu

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

Reciprocating impact load leads to plastic deformation on the surface of the kinematic chains in aircraft brake system. As a result, this causes fatigue and various complex natural damages. Due to the complex surface conditions and the coexistence damages, it is extremely difficult to diagnose micro cracks by using conventional thermography inspection methods. In this paper, the Thermal Pattern Contrast (TPC) method is proposed for weak thermal signal detection using eddy current pulsed thermography (ECPT). In this process, the extraction and subsequent separation differentiate a maximum of the thermal spatial-transient pattern between defect and non-defect areas. Specifically, a successive optical flow (OF) is established to conduct a projection of the thermal diffusion. This directly gains the benefits of capturing the thermal propagation characteristics. It enables us to build the motion context connected between the local and the global thermal spatial pattern. Principal Component Analysis (PCA) is constructed to further mine the spatial-transient patterns to enhance the detectability and sensitivity in micro crack detection. Finally, experimental studies have been conducted on an artificial crack in a steel sample and on natural fatigue cracks in aircraft brake components in order to validate the proposed method.
Original languageEnglish
Pages (from-to)5563-5574
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number12
Early online date5 Feb 2018
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Aircraft braking system
  • induction thermography
  • optical flow (OF)
  • principal component analysis (PCA)
  • thermal pattern contrast (TPC)
  • weak signal extraction

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