Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

Blog Article

Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used.One of the most promising techniques in teal horse blanket rail inspection is the use of ultrasonic guided waves and noncontact probes.A rail inspection prototype based on these concepts and devoted to the automatic damage detection of defects in rail head is the focus of this paper.The prototype includes an algorithm based on wavelet transform and outlier analysis.The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data.

These data are combined into a damage index vector fed to an unsupervised learning algorithm based on outlier analysis that determines the anomalous conditions of the rail.The first part of the paper shows the prototype in action on a railroad track mock-up built at the University of California, San Diego.The mock-up contained surface and internal defects.The results from three experiments are 12n/1200 wella presented.The importance of feature selection to maximize the sensitivity of the inspection system is demonstrated here.

The second part of the paper shows the results of field testing conducted in south east Pennsylvania under the auspices of the U.S.Federal Railroad Administration.