This paper deals with signal processing for vibration analysis of the gear transmission. The main goal was localization of the best measuring point on the gearbox housing, which could provide the highest sensitivity to gearwheels vibration. Vibration measured at some selected points on the gearbox housing was analysed using methods of spectral analysis. The important frequencies in the vibration spectra and a value of their importance were estimated using Group of Adaptive Models Evolution. This work was done within the framework of experimental research concerned with testing and lifetime estimation of new designs of gearwheels. The lifetime of an examined gearwheel, which is mainly related to rise of pitting faults, was assessed by monitoring of a gearwheel vibration level.
This article deals with the use of neural networks for estimation of deceleration model parameters for the adaptive cruise control unit. The article describes the basic functionality of adaptive cruise control and creates a mathematical model of braking, which is one of the basic functions of adaptive cruise control. Furthermore, an analysis of the influences acting in the braking process is performed, the most significant of which are used in the design of deceleration prediction for the adaptive cruise control unit using neural networks. Such a connection using artificial neural networks using modern sensors can be another step towards full vehicle autonomy. The advantage of this approach is the original use of neural networks, which refines the determination of the deceleration value of the vehicle in front of a static or dynamic obstacle, while including a number of influences that affect the braking process and thus increase driving safety.
Published paper summarizes development of unique testing stand for experimental testing of railway vehicle gearboxes under dynamic impact and torque load. There is presented a description of design of main parts. Paper also previews the process of implementation and first run-in tests including figures from tuning process and a picture of final design.
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