An intellectual fault diagnosis system for vehicular driveline system

Abstract

Automobile driveline systems often play a vital part in the effective functioning of multiple engines. The hierarchal operational pattern of a vehicular driveline system should be free from vibrations, but in reality attenuation of the undesired vibration is a difficult task. Drive-train vibrations arising in an automobile driveline systems affects the effective functioning of the individual components which eventually leads to reduced efficiencies and fatigue failure. The current research chiefly intended for envisaging the damage extent in a vehicular driveline systems by developing a genetic algorithm. The time-domain reflexes arising along the length of the vehicular driveline system specify the extent of the damage. These time-domain reflexes i.e. the torsional vibration reflexes characterizes the extent of decline in the individual component stiffness (i.e. the reduced stiffness coefficients). The responsive coefficients of reduced stiffness are predicted by engaging a novel genetic algorithm. Likewise, the multiple responsive mechanisms involved in the torsional vibration of the vehicular driveline system are discussed thoroughly.