Detection of railway track squats by using bogie acceleration measurement

Yin, Xianxian; Wei, Xiukun; Jia, Limin

doi:10.1109/chicc.2015.7260628

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Li et al improved the algorithm to enable the detection of light squats [15]. Yin et al [31] highlighted several limitations associated with ABA measurements. These drawbacks include the susceptibility of the ABA signal to various factors, such as the specific type of axle box, the condition of the wheel axle bearings, and even variations in the wheel profile.…”

Section: Introductionmentioning

confidence: 99%

Wayside Railway Switch and Crossing Monitoring Using Isolation Forest Anomaly Scores

Zuo,

Chandran,

Odelius

et al. 2023

Sustainability

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Railway switch and crossing (S&C) systems have complicated moving structures compared with regular rail. They require multiple components that vary in complexity. The complexity of railway S&C, together with the fact that they are discontinuous points of the system, makes them vulnerable to defects such as squats. A squat on the switching rail could potentially cause rail breakage and lead to catastrophic results, such as derailment. In this study, a method based on anomaly scoring was investigated to estimate the status of an S&C system with respect to squat defects. The proposed method was tested in a real environment under controlled measurement sequences. The results show that the methods can differ between an S&C with squats and another one without them.

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Section: Introductionmentioning

confidence: 99%