Abstract
The paper discusses the preconditions of the methodology development of diagnosis system for assessing dynamic impact of the rolling stock on the basis of processing and analysis of data obtained in operation on the results of measurement of parameters that characterize dynamic vibration processes of the mechanical system of “rolling stock – track”. On the basis of usage of the processing methods of time series and stochastic processes there has been established the relationship between these dynamic processes and wheel defects, and designed experimental data processing algorithms, which in the future will be an integral part of the intellectual systems of decision making when assessing the impact level of the rolling stock on the track. The article presents some results of the experimental and theoretical research of the rail accelerations data, which have been registered during passing of the train. The computational algorithm of the specialized pre-processing of the multidimensional signal recorded by this system is described. The advantage of this algorithm is that it does not require additional information about the train speed on the section equipped with the monitoring system, about the number of wheel pairs of locomotives and train cars, and about the distances between the wheel pairs. Based on the processing results of accelerations of the rails there have been set the parameters of increase in all statistical indicators with increase in the train speed. It is noted that the level of indicators for accelerations of the rails in the vertical direction is twice as high as the corresponding parameters in the horizontal direction.
Highlights
The modern systems of monitoring of the dynamic condition of vehicles intended to detect faults fundamentally use concepts and hypothesis, which are based on in-depth filtration methods and the time series analysis [1]
Most of the commercial products for monitoring the railway vehicles condition are focused on the bogie system, which is due to the fact that some of its most important components are exposed to rapid change of their technical condition and have a serious impact on operability of the system “railway vehicle – railway” in whole and movement safety in particular
The modern monitoring systems, which are installed on the track, were analyzed by Brickle B etc. [9] commissioned by the The Rail Safety and Standard Board (RSSB) UK and have been classified by the functional categories, where as a separate group there has been allocated the wheel impact load detectors (WILD), which detect the presence of a defective wheel by measuring the magnitude of the load and comparing it to the specified threshold
Summary
The modern systems of monitoring of the dynamic condition of vehicles intended to detect faults fundamentally use concepts and hypothesis, which are based on in-depth filtration methods and the time series analysis [1]. Most of the commercial products for monitoring the railway vehicles condition are focused on the bogie system, which is due to the fact that some of its most important components are exposed to rapid change of their technical condition and have a serious impact on operability of the system “railway vehicle – railway” in whole and movement safety in particular. In such a case the key aspect is the ability of the existing monitoring technology to detect the diagnostic parameters in real time and to assess and predict the technical maintenance time [1]. This article presents the results of experimental research on impacts on the track structure of freight cars with the use of the given method of monitoring
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