Estimation of longitudinal velocity noise for rail wheelset adhesion and error level

The longitudinal velocity (forward speed) having significant importance in proper running of railway wheelset on track, depends greatly upon the adhesion ratio and creep analysis by implementation of suitable dynamic systemon contamination. The wet track condition causes slip and slide of vehicle on railway tracking, whereas high speedmay also increase slip and skidding to severewear and deterioration ofmechanical parts. The basic aimof this research is to design appropriatemodel aimed estimator that can be used to control railway vehicle forward velocity to avoid slip. For the filtration of disturbance procured during running of vehicle, the kalman filter is applied to estimate the actual signal on preferered samples of creep co-efficient for observing the applied attitude of noise. Thus error level is detected on higher and lower co-efficient of creep to analyze adhesion to avoid slip and sliding. The skidding is usually occurred due to higher forward speed owing to procured disturbance. This paper guides to minimize the noise and error based upon creep coefficient.