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Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
For more than 60 years ultrasonic rail inspection is used as non-destructive testing method to ensure the safe operation of rail tracks. Constantly increasing traffic density and heavy loads have been the motor for the development of new test equipment from handheld devices to rail inspection trains. (Krull 2003)Up to the present most of the system solutions feature conventional ultrasonic transducers housed in wheel-type and slide-type probes. Different tasks have to be carried out during an in-service inspection for flaws in the rail head, rail web and rail foot as well as rolling contact fatigue (Heckel 2018). The more tasks the inspection system has to perform, the more probes are needed. Compared against standard ultrasonic testing methods the application of array probes offers advantages and flexibility by the electronic steering possibilities to control the transmitted and received sound fields. This allows to increase functionality by software while decreasing the number of probes needed in hardware in parallel. One drawback in application of phased array probes is that the repetition frequency of the subsequent measurements will be reduced by the number of virtual probe functions each phased array probe has to perform. This may limit the range of use for phased array probes in high speed applications. To overcome these limits special designs for array probes and signal processing are necessary.
For more than 60 years ultrasonic rail inspection is used as non-destructive testing method to ensure the safe operation of rail tracks. Constantly increasing traffic density and heavy loads have been the motor for the development of new test equipment from handheld devices to rail inspection trains. (Krull 2003)Up to the present most of the system solutions feature conventional ultrasonic transducers housed in wheel-type and slide-type probes. Different tasks have to be carried out during an in-service inspection for flaws in the rail head, rail web and rail foot as well as rolling contact fatigue (Heckel 2018). The more tasks the inspection system has to perform, the more probes are needed. Compared against standard ultrasonic testing methods the application of array probes offers advantages and flexibility by the electronic steering possibilities to control the transmitted and received sound fields. This allows to increase functionality by software while decreasing the number of probes needed in hardware in parallel. One drawback in application of phased array probes is that the repetition frequency of the subsequent measurements will be reduced by the number of virtual probe functions each phased array probe has to perform. This may limit the range of use for phased array probes in high speed applications. To overcome these limits special designs for array probes and signal processing are necessary.
Increased speed, heavier loads, altered material and modern drive systems result in an increasing number of rail flaws. The appearance of these flaws also changes continually due to the rapid change in damage mechanisms of modern rolling stock. Hence, interpretation has become difficult when evaluating non-destructive rail testing results. Due to the changed interplay between detection methods and flaws, the recorded signals may result in unclassified types of rail flaws. Methods for automatic rail inspection (according to defect detection and classification) undergo continual development. Signal processing is a key technology to master the challenge of classification and maintain resolution and detection quality, independent of operation speed. The basic ideas of signal processing, based on the Glassy-Rail-Diagram for classification purposes, are presented herein. Examples for the detection of damages caused by rolling contact fatigue also are given, and synergetic effects of combined evaluation of diverse inspection methods are shown.