Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
نویسندگان
چکیده
منابع مشابه
Forecasting Vertical Acceleration Railway Wagons - A comparative study
Advances in modern machine learning techniques has encouraged interest in the development of vehicle health monitoring (VHM) systems. These techniques are useful for the reduction of maintenance and inspection requirements of railway systems. The performance of rail vehicles running on a track is limited by the lateral instability and track irregularities of a railway wagon. In this study, a fo...
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Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of lateral instability and track irregularities. In this study we have proposed a system to monitor ...
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The design of European two–axle freight wagons can be traced back to the 1890’es. It has been and still is widely used in Europe because it is simple, rugged and cheap in price and maintenance. The internationally approved suspension for two–axle freight wagons in Europe is known as the UIC standard suspension (see Fig. 1). Each wagon has four of these suspensions. They consist of a leaf spring...
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Car body acceleration is an important factor affecting track safety and ride comfort, which are two primary aspects of railway systems. Though track level is an important source of wagon body acceleration, no quantitative relation between them is available and the aim of this paper is to propose a method to address this issue. To do so, car body acceleration is determined using a 10 DOF simulat...
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ژورنال
عنوان ژورنال: IEEE Transactions on Intelligent Transportation Systems
سال: 2010
ISSN: 1524-9050,1558-0016
DOI: 10.1109/tits.2010.2041057