Weigh-in-Motion Data Processing Algorithm Research Of Rail Vehicles

The WIM of vehicles, which is the weighing in the non-stop weighing state. And compared to the static weighing, the main feature is to save time, and high efficiency. WIM ,when vehicles through the weighing device at a certain speed , not only the action time is short by weighing instrument (within a few hundred milliseconds), but also has many interference force factors in addition to the real force on the axle load, such as: Speed, self-resonant, road incentives, the driving force of wheels. It can be said that the real axle load force is submerged in a variety of interference, which make great difficulties to realize high-precision measurement of WIM. Therefore, how to accurately measure the real axle load force with the action of the random uncertainty interfere force has become the technical difficulties and the key of dynamic load testing. Collating and analyzing the interference of the WIM system, researching the measures that reducing or eliminating the impact of these disturbances force from the overall angle of dynamic testing system , this will contribute to high-precision dynamic weighing technology and test system development. In order to improve the accuracy of dynamic weighing of vehicles, we propose a new type of portable vehicle dynamic weighing devices, study the WIM data-processing algorithms, and apply it in the portable WIM system of rail vehicles to enhance the WIM precision of rail vehicles.This thesis, on the basic of portable rail vehicles WIM instrument, collects the data which output from the sensor, realizes the dual-channel real-time data acquisition, and in accordance with changes of the speed, adjusts its frequency to have the correct samples of the signal. This issue also researches the EMD method and RBF neural network approach and applies them to the WIM system from using the weighing data. The signal processing results show that the results of both methods are allowed in error, but the accuracy and stability of EMD method is higher than the RBF, so EMD is used as the WIM data processing method of the portable rail vehicles weighing device.