Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning

Infotainment system is one of the standard elements used in all ranges of motor vehicles. These elements act as driver assistance systems that offer numerous advantages to the drivers to ensure safe driving. The infotainment systems indicate the monitoring information based on which the preventive measures can be initiated. In this study, we made an attempt to display the faults that occur in a brake system using vibration analysis through an artificial intelligence technique called artificial immune recognition system (AIRS). The vibration signals captured under various brake faults were processed and the statistical information was extracted. Three versions of the AIRS were used for the classification. Compared to AIRS 1 and AIRS 2 parallel, the AIRS 2 version produced the maximum accuracy of 97.82%. Based on the outcome, an electronics-based diagnostic module is proposed for categorizing and displaying the nature of brake faults in the infotainment system.