Review on fault diagnosis model in automobile

Abstract

Technological sophistication is growing day by day, that is embedded in the vehicle systems. A complex system interacts with its surrounding which executes many set of tasks by maintaining its performance. Any change in a system other than its acceptable performance or anything which is not tolerable is treated as a fault. So fault detection and diagnosis becomes necessary in system or component malfunction and thus decreasing the downtime of the system. Fault diagnosis includes necessary facts that are used to identify the faults encountered in the process. Various models have developed to map the hierarchical system-level fault diagnostic information consisting of causal dependencies between observable symptoms and failure modes that are associated with a system. In this paper, various areas are discussed that are involved in fault diagnosis and detection model related to the automobile domain. This survey mainly concentrate on which source is better for constructing fault diagnosis model. Text driven model is found to be reliable for creating D-matrix model to maintain accuracy.