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
SN - 0141-0296
VL - 123
SP - 225
EP - 235
JO - Engineering Structures
JF - Engineering Structures
IS - September
ER -