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Health condition monitoring of insulated joints based on axle box acceleration measurements. / Molodova, Maria; Oregui Echeverria-Berreyarza, Maider; Nunez Vicencio, Alfredo; Li, Zili; Dollevoet, Rolf.

In: Engineering Structures, Vol. 123, No. September, 11.06.2016, p. 225-235.

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Molodova, Maria ; Oregui Echeverria-Berreyarza, Maider ; Nunez Vicencio, Alfredo ; Li, Zili ; Dollevoet, Rolf. / Health condition monitoring of insulated joints based on axle box acceleration measurements. In: Engineering Structures. 2016 ; Vol. 123, No. September. pp. 225-235.

BibTeX

@article{9ef8c86ce630444c9083d4b9b150f4ac,
title = "Health condition monitoring of insulated joints based on axle box acceleration measurements",
abstract = "This paper presents a health condition monitoring system for insulated rail joints (IRJs) based on axle box acceleration (ABA) measurements. The ABA signals from all the wheels of the measuring train are processed to extract those characteristics that better represent the quality of the IRJ. Then, different indicators are used for damage assessment, the most relevant being a set of frequency bands in the ABA power spectrum. A detection algorithm is proposed based on the derived frequency characteristics of the ABA signal. We compared the responses of IRJs in good condition with those in poor condition. Track inspections were performed to validate the health condition monitoring methodology in different IRJs of the Dutch railway network. The hit rate of IRJs detection was 84% for two validated tracks. The damage assessment procedure allowed to prioritize the IRJs that require maintenance. This information is useful for the railway inframanagers as it allows to predict where safety compromises will be faced. plants.",
keywords = "Railway infrastructure monitoring, insulated joints, axle box acceleration measurements, damage detection",
author = "Maria Molodova and {Oregui Echeverria-Berreyarza}, Maider and {Nunez Vicencio}, Alfredo and Zili Li and Rolf Dollevoet",
year = "2016",
month = jun,
day = "11",
doi = "10.1016/j.engstruct.2016.05.018",
language = "English",
volume = "123",
pages = "225--235",
journal = "Engineering Structures",
issn = "0141-0296",
publisher = "Elsevier",
number = "September",

}

RIS

TY - JOUR

T1 - Health condition monitoring of insulated joints based on axle box acceleration measurements

AU - Molodova, Maria

AU - Oregui Echeverria-Berreyarza, Maider

AU - Nunez Vicencio, Alfredo

AU - Li, Zili

AU - Dollevoet, Rolf

PY - 2016/6/11

Y1 - 2016/6/11

N2 - This paper presents a health condition monitoring system for insulated rail joints (IRJs) based on axle box acceleration (ABA) measurements. The ABA signals from all the wheels of the measuring train are processed to extract those characteristics that better represent the quality of the IRJ. Then, different indicators are used for damage assessment, the most relevant being a set of frequency bands in the ABA power spectrum. A detection algorithm is proposed based on the derived frequency characteristics of the ABA signal. We compared the responses of IRJs in good condition with those in poor condition. Track inspections were performed to validate the health condition monitoring methodology in different IRJs of the Dutch railway network. The hit rate of IRJs detection was 84% for two validated tracks. The damage assessment procedure allowed to prioritize the IRJs that require maintenance. This information is useful for the railway inframanagers as it allows to predict where safety compromises will be faced. plants.

AB - This paper presents a health condition monitoring system for insulated rail joints (IRJs) based on axle box acceleration (ABA) measurements. The ABA signals from all the wheels of the measuring train are processed to extract those characteristics that better represent the quality of the IRJ. Then, different indicators are used for damage assessment, the most relevant being a set of frequency bands in the ABA power spectrum. A detection algorithm is proposed based on the derived frequency characteristics of the ABA signal. We compared the responses of IRJs in good condition with those in poor condition. Track inspections were performed to validate the health condition monitoring methodology in different IRJs of the Dutch railway network. The hit rate of IRJs detection was 84% for two validated tracks. The damage assessment procedure allowed to prioritize the IRJs that require maintenance. This information is useful for the railway inframanagers as it allows to predict where safety compromises will be faced. plants.

KW - Railway infrastructure monitoring

KW - insulated joints

KW - axle box acceleration measurements

KW - damage detection

UR - http://resolver.tudelft.nl/uuid:9ef8c86c-e630-444c-9083-d4b9b150f4ac

U2 - 10.1016/j.engstruct.2016.05.018

DO - 10.1016/j.engstruct.2016.05.018

M3 - Article

VL - 123

SP - 225

EP - 235

JO - Engineering Structures

JF - Engineering Structures

SN - 0141-0296

IS - September

ER -

ID: 4831380