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Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment
Joint Authors
Malek, Hadi
Cheng, Yuhua
Huang, Xuegang
Yin, Chun
Zhang, Bo
Dadras, Sara
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In this paper, in order to achieve automatic defect identification for pneumatic pressure equipment, an improved feature extraction algorithm eddy current pulsed thermography (ECPT) is presented.
The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function.
The data block selection and variable step search are integrated to decrease the redundant computations in the automatic defect identification.
The goal of the classification and between-class distance calculation is to select the typical features of thermographic sequence.
The main image information can be extracted by the method precisely and efficiently.
Experimental results are provided to demonstrate the capabilities and benefits (i.e., reducing the processing time) of the proposed algorithm in automatic defect identification.
American Psychological Association (APA)
Zhang, Bo& Cheng, Yuhua& Yin, Chun& Huang, Xuegang& Dadras, Sara& Malek, Hadi. 2018. Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1134665
Modern Language Association (MLA)
Zhang, Bo…[et al.]. Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1134665
American Medical Association (AMA)
Zhang, Bo& Cheng, Yuhua& Yin, Chun& Huang, Xuegang& Dadras, Sara& Malek, Hadi. Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1134665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134665