B-spline approach for failure detection and diagnosis on railway point mechanisms case study

Research output: Contribution to journal › Article › peer-review

Standard

B-spline approach for failure detection and diagnosis on railway point mechanisms case study. / García Márquez, Fausto Pedro; Chacón Muñoz, Jesús Miguel; Tobias, Andrew Mark.

In: Quality Engineering, Vol. 27, No. 2, 03.04.2015, p. 177-185.

Research output: Contribution to journal › Article › peer-review

Harvard

García Márquez, FP, Chacón Muñoz, JM & Tobias, AM 2015, 'B-spline approach for failure detection and diagnosis on railway point mechanisms case study', Quality Engineering, vol. 27, no. 2, pp. 177-185. https://doi.org/10.1080/08982112.2014.933980

APA

García Márquez, F. P., Chacón Muñoz, J. M., & Tobias, A. M. (2015). B-spline approach for failure detection and diagnosis on railway point mechanisms case study. Quality Engineering, 27(2), 177-185. https://doi.org/10.1080/08982112.2014.933980

Vancouver

García Márquez FP, Chacón Muñoz JM, Tobias AM. B-spline approach for failure detection and diagnosis on railway point mechanisms case study. Quality Engineering. 2015 Apr 3;27(2):177-185. https://doi.org/10.1080/08982112.2014.933980

Author

García Márquez, Fausto Pedro ; Chacón Muñoz, Jesús Miguel ; Tobias, Andrew Mark. / B-spline approach for failure detection and diagnosis on railway point mechanisms case study. In: Quality Engineering. 2015 ; Vol. 27, No. 2. pp. 177-185.

Bibtex

@article{9a257c7acf004a12aa419945335fbfd3,
title = "B-spline approach for failure detection and diagnosis on railway point mechanisms case study",
abstract = "In railway transportation the safety and reliability in operations of railway point mechanism must be ensured in order to improve the quality of the service. This article presents a case study in a railway turnout (U.S.: switch). The case study reports how the effect of the operating force data sampled and monitored during the switching of a railway point mechanism can be converted into continuous polynomial B-spline functions. These functions are employed to define, and periodically to update, tolerance bands for the purpose of condition monitoring. Data from variously faulty mechanisms were converted similarly, and the profiles found to differ sufficiently not only to detect 100 percent of faults but, from the distinctive shapes of the profiles, to diagnose (i.e., distinguish correctly between) some 70-80 percent of them.",
keywords = "B-spline, failure detection and diagnosis, point mechanisms, remote condition monitoring",
author = "{Garc{\'i}a M{\'a}rquez}, {Fausto Pedro} and {Chac{\'o}n Mu{\~n}oz}, {Jes{\'u}s Miguel} and Tobias, {Andrew Mark}",
year = "2015",
month = apr,
day = "3",
doi = "10.1080/08982112.2014.933980",
language = "English",
volume = "27",
pages = "177--185",
journal = "Quality Engineering",
issn = "0898-2112",
publisher = "Taylor & Francis",
number = "2",

}

RIS

TY - JOUR

T1 - B-spline approach for failure detection and diagnosis on railway point mechanisms case study

AU - García Márquez, Fausto Pedro

AU - Chacón Muñoz, Jesús Miguel

AU - Tobias, Andrew Mark

PY - 2015/4/3

Y1 - 2015/4/3

N2 - In railway transportation the safety and reliability in operations of railway point mechanism must be ensured in order to improve the quality of the service. This article presents a case study in a railway turnout (U.S.: switch). The case study reports how the effect of the operating force data sampled and monitored during the switching of a railway point mechanism can be converted into continuous polynomial B-spline functions. These functions are employed to define, and periodically to update, tolerance bands for the purpose of condition monitoring. Data from variously faulty mechanisms were converted similarly, and the profiles found to differ sufficiently not only to detect 100 percent of faults but, from the distinctive shapes of the profiles, to diagnose (i.e., distinguish correctly between) some 70-80 percent of them.

AB - In railway transportation the safety and reliability in operations of railway point mechanism must be ensured in order to improve the quality of the service. This article presents a case study in a railway turnout (U.S.: switch). The case study reports how the effect of the operating force data sampled and monitored during the switching of a railway point mechanism can be converted into continuous polynomial B-spline functions. These functions are employed to define, and periodically to update, tolerance bands for the purpose of condition monitoring. Data from variously faulty mechanisms were converted similarly, and the profiles found to differ sufficiently not only to detect 100 percent of faults but, from the distinctive shapes of the profiles, to diagnose (i.e., distinguish correctly between) some 70-80 percent of them.

KW - B-spline

KW - failure detection and diagnosis

KW - point mechanisms

KW - remote condition monitoring

UR - http://www.scopus.com/inward/record.url?scp=84928563957&partnerID=8YFLogxK

U2 - 10.1080/08982112.2014.933980

DO - 10.1080/08982112.2014.933980

M3 - Article

AN - SCOPUS:84928563957

VL - 27

SP - 177

EP - 185

JO - Quality Engineering

JF - Quality Engineering

SN - 0898-2112

IS - 2

ER -