Abstract

Rail tracks undergo massive stresses that can affect their structural integrity and produce rail breakage. The last phenomenon represents a serious concern for railway management authorities, since it may cause derailments and, consequently, losses of rolling stock material and lives. Therefore, the activities of track maintenance and inspection are of paramount importance. In recent years, the use of various technologies for monitoring rails and the detection of their defects has been investigated; however, despite the important progresses in this field, substantial research efforts are still required to achieve higher scanning speeds and improve the reliability of diagnostic procedures. It is expected that, in the near future, an important role in track maintenance and inspection will be played by the ultrasonic guided wave technology. In this manuscript, its use in rail track monitoring is investigated in detail; moreover, both of the main strategies investigated in the technical literature are taken into consideration. The first strategy consists of the installation of the monitoring instrumentation on board a moving test vehicle that scans the track below while running. The second strategy, instead, is based on distributing the instrumentation throughout the entire rail network, so that continuous monitoring in quasi-real-time can be obtained. In our analysis of the proposed solutions, the prototypes and the employed methods are described.

Highlights

  • The track is one of the basic elements of railroading

  • In the following two paragraphs, we focus on the different types of defects and on the techniques that can be employed for their detection

  • Test results illustrated in Refs. [9,65] have proven that the reflection peak due to an artificial defect does not have a simple correlation with temperature; no satisfactory explanation for this behavior has been provided, it is known that measurements may have been affected by the complicated resonant conditions producing the large reflections [9]

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Summary

Introduction

Numerous types of defects appear in rail tracks, and multiple parameters affect the prediction of crack growth rates and of the defect size at failure [9]. It is not easy to establish if such a change is caused by a defect or by a variation of other parameters affecting the system response to the considered excitation. It should be always kept in mind that, in harsh environments like rail tracks, any variation observed in the propagation conditions of ultrasonic signals can originate from changes in environmental and operating conditions (EOCs); these conditions include, for instance, temperature, train passing, or maintenance operations [51]. The continuous monitoring of a rail track can provide better performance results in terms of defect detection probability than a single inspection, though it is influenced by the EOC. The following specific technical issues should be investigated: (a) the behavior of a defect growing over time; (b) the influence of the selected transducers on the quality of the received signal; (c) the influence of the changes in rail properties on the propagation of guided waves and the parameterization of these changes; (d) the influence of time varying EOCs on wave propagation and the methods for compensating for these variations; and (e) the identification of the defect detection algorithm and the use of proper methods for assessing its performance

An Overview of Rail Defects and of the Techniques for Their Detection
Rail Defects
Rail Manufacturing Defects
Defects Due to Rail Wear and Fatigue
Defect Growth
Rail Diagnostics Techniques
EC-Based Methods
Ultrasonic Techniques
Visual Inspection
Thermal Techniques
Radiographic Techniques
Track Circuits
Conventional Ultrasonic Techniques
Phased Arrays
Guided Waves
Systems for Rail Defect Detection Based on Ultrasonic Guided Waves
On-Board Systems
Land-Based Systems
Hardware Configuration
Defect Detection Principles
Signal Processing
Reverberation of Airborne Signals Caused by an Acoustic Mismatch
Defect Detection Principle
Data Processing
Trade-Offs
Land-Based Systems Implementation-Premise
UBRD Hardware Configuration and Generated Signals
Defect Detection Principle and Employed Signal Processing Method
UBRD Updates
Land-Based Systems Implementation-Evolution
Selected Modes for Guided Wave Propagation
Monitoring System Hardware and Software
Behavior of a Defect during Time
Signal Pre-Processing
Acquired Signals
Phased Array Processing
Dispersion Compensation
Signal Stretching and Scaling
Signal Reordering to Simulate the Monotonic Growth of a Defect
Defect Detection
Adaptive SAFE Model for Rail Parameter Estimation
Problem Statement
Possible Solutions
Conclusions
RailAcoustic by Enekom
Technical Contributions Provided by the Beijing Jiaotong University
Technical Contributions Provided by the Xi’an University of Technology
Performance Analysis
On-Board Active System
On-Board Passive System
Land-Based UBRD System with Early Rail Defect Detection Capability
Defect Detection in the Presence of Large Defects
Defect Detection in the Presence of Small Defects
Concluding Analysis on the Evolved UBRD System
10. Discussion and Conclusions
10.1. Advantages and Disadvantages of the Considered Systems
10.2. Future Developments
10.3. Conclusions
Full Text
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