Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree

Peng Dai; Xudong Yang; Ping He; Hong Jian Zhang

doi:10.1109/IWISA.2009.5072763

Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree

Peng Dai^*
, Xudong Yang
, Ping He
, Hong Jian Zhang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Automatic recognition of losing of bogie center plate screw(BCPS) on digit images is a hard problem that due to the vast differences and impreciseness associated with the poor sampling environment and moving photographing. This paper presents a multiple-fuzzy relation tree to solve this problem. Single sample is preprocessed by the method such asFinite-Radius Hough Transformation, constraint-rectangle calculator and the gray average of local domain to obtainelements construct the fuzzy sets. Multiple-fuzzy relation tree was designed based on the rules based on fuzzy sets. Demonstrated by application, the multiple-fuzzy relation tree has an advantage with the recognition of complex pattern, strong correlation and low contrast images. The recognition accuracy is achievable up to 90%.

Original language	English
Title of host publication	2009 International Workshop on Intelligent Systems and Applications, ISA 2009
DOIs	https://doi.org/10.1109/IWISA.2009.5072763
State	Published - 2009
Event	2009 International Workshop on Intelligent Systems and Applications, ISA 2009 - Wuhan, China Duration: 23 May 2009 → 24 May 2009

Publication series

Name	2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Conference

Conference	2009 International Workshop on Intelligent Systems and Applications, ISA 2009
Country/Territory	China
City	Wuhan
Period	23/05/09 → 24/05/09

Keywords

Automatic recognition
Constraint rectangle
Finite-radius hough transformation
Multiple-fuzzy relation

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10.1109/IWISA.2009.5072763

Cite this

Dai, P., Yang, X., He, P., & Zhang, H. J. (2009). Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree. In 2009 International Workshop on Intelligent Systems and Applications, ISA 2009 Article 5072763 (2009 International Workshop on Intelligent Systems and Applications, ISA 2009). https://doi.org/10.1109/IWISA.2009.5072763

@inproceedings{f2af79c1190f4018a37e4d78a178b14b,

title = "Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree",

abstract = "Automatic recognition of losing of bogie center plate screw(BCPS) on digit images is a hard problem that due to the vast differences and impreciseness associated with the poor sampling environment and moving photographing. This paper presents a multiple-fuzzy relation tree to solve this problem. Single sample is preprocessed by the method such asFinite-Radius Hough Transformation, constraint-rectangle calculator and the gray average of local domain to obtainelements construct the fuzzy sets. Multiple-fuzzy relation tree was designed based on the rules based on fuzzy sets. Demonstrated by application, the multiple-fuzzy relation tree has an advantage with the recognition of complex pattern, strong correlation and low contrast images. The recognition accuracy is achievable up to 90\%.",

keywords = "Automatic recognition, Constraint rectangle, Finite-radius hough transformation, Multiple-fuzzy relation",

author = "Peng Dai and Xudong Yang and Ping He and Zhang, \{Hong Jian\}",

year = "2009",

doi = "10.1109/IWISA.2009.5072763",

language = "英语",

isbn = "9781424438945",

series = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009",

booktitle = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009",

note = "2009 International Workshop on Intelligent Systems and Applications, ISA 2009 ; Conference date: 23-05-2009 Through 24-05-2009",

}

Dai, P, Yang, X, He, P & Zhang, HJ 2009, Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree. in 2009 International Workshop on Intelligent Systems and Applications, ISA 2009., 5072763, 2009 International Workshop on Intelligent Systems and Applications, ISA 2009, 2009 International Workshop on Intelligent Systems and Applications, ISA 2009, Wuhan, China, 23/05/09. https://doi.org/10.1109/IWISA.2009.5072763

Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree. / Dai, Peng; Yang, Xudong; He, Ping et al.
2009 International Workshop on Intelligent Systems and Applications, ISA 2009. 2009. 5072763 (2009 International Workshop on Intelligent Systems and Applications, ISA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dai, Peng

AU - Yang, Xudong

AU - He, Ping

AU - Zhang, Hong Jian

PY - 2009

Y1 - 2009

N2 - Automatic recognition of losing of bogie center plate screw(BCPS) on digit images is a hard problem that due to the vast differences and impreciseness associated with the poor sampling environment and moving photographing. This paper presents a multiple-fuzzy relation tree to solve this problem. Single sample is preprocessed by the method such asFinite-Radius Hough Transformation, constraint-rectangle calculator and the gray average of local domain to obtainelements construct the fuzzy sets. Multiple-fuzzy relation tree was designed based on the rules based on fuzzy sets. Demonstrated by application, the multiple-fuzzy relation tree has an advantage with the recognition of complex pattern, strong correlation and low contrast images. The recognition accuracy is achievable up to 90%.

AB - Automatic recognition of losing of bogie center plate screw(BCPS) on digit images is a hard problem that due to the vast differences and impreciseness associated with the poor sampling environment and moving photographing. This paper presents a multiple-fuzzy relation tree to solve this problem. Single sample is preprocessed by the method such asFinite-Radius Hough Transformation, constraint-rectangle calculator and the gray average of local domain to obtainelements construct the fuzzy sets. Multiple-fuzzy relation tree was designed based on the rules based on fuzzy sets. Demonstrated by application, the multiple-fuzzy relation tree has an advantage with the recognition of complex pattern, strong correlation and low contrast images. The recognition accuracy is achievable up to 90%.

KW - Automatic recognition

KW - Constraint rectangle

KW - Finite-radius hough transformation

KW - Multiple-fuzzy relation

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DO - 10.1109/IWISA.2009.5072763

M3 - 会议稿件

AN - SCOPUS:70349478643

SN - 9781424438945

T3 - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

BT - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

T2 - 2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Y2 - 23 May 2009 through 24 May 2009

ER -

Automatic recognition for losing of train bogie center plate screw based on multiple-fuzzy relation tree

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Keywords

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