Ballastless track mortar layer void detection by high-order statistical analysis of axle box acceleration. (April 2023)

• Record Type: Journal Article
• Authors: Miao, Shuaijie; Gao, Liang; Tong, Fengzhuang; Zhong, Yanglong; Ma, Chaozhi; Chen, Zhipei
• Is Part Of: Measurement. Volume 211(2023)
• Publication Date: 2023-04
• Subjects: High-speed railway, ballastless track -- Damage detection -- High-order statistics -- Axle box acceleration; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2023.112681
• Languages: English
• ISSNs: 0263-2241

Abstract

Graphical abstract: Highlights: High-order statistics of dynamic train response is used to detect mortar void quickly. Improving the mortar void detection speed and accuracy in the ballastless track. A 4th-order cumulant kurtosis difference method is designed to locate voids. Bispectrum of axle box accelerations is analyzed to recognize the 24 void cases. Synchronous and quick detection of mortar void location and recognition is realized. Abstract: A scheme based on high-order statistical analysis of vertical axle box acceleration (ABA) is proposed to locate and identify mortar voids in ballastless tracks quickly. The ABA signal near a void area contains abnormal non-Gaussian components, but are easily buried by random noise. A 4 th order cumulative time-varying kurtosis difference ( TKD - cum 4) method is designed to locate void areas. Twenty-four edge-type and concealed-type mortar void cases are identified and classified by bispectral analysis of ABA signal segments. The measured and simulated data verify the proposed scheme's CAM void location and recognition effect. The results show that the maximum void area location error along the railway line is 0.137 m. The recognition accuracy of unidirectional void level is 92%. The simultaneous recognition rate of void type and damage degree is nearly 90%. The good noise resistance of the proposed detection scheme is verified.