A Fault Detection Scheme for a Heading Measurement Unit of an Attitude and Heading Reference System

In order to maximize system performance and achieve higher production quality, complexity of processing systems increased continually. Hence, process monitoring and fault detection become important parts of modern systems. In this paper, a fault detection system has been designed for a heading measurement unit of an Attitude and Heading Reference system (AHRS). AHRS is one of the most important parts in the preset and inertial navigation systems (INS). In this regards, at First, AHRS processing circuits of an AUV have been analyzed and simulated. Then, a fault detection scheme based on neural network has been designed. Simulation results show acceptable performance of the proposed scheme in detecting faults.