Fault Classification in Vehicle Power Transmission using Machine Learning

The work describes the application of machine learning (ML) to categorization and diagnosis vehicle faults in power transmission system. For each failure characteristic condition, a algorithm may be employed categorize their separate diagnostic elements. use acoustic sensors can used create real-time detection approach for engines systems. Previously, it was contacting drivers or obscuring services based on maintenance driving safety degree under internet (IoV) needs. car's variable signals are captured categorised utilising fuzzy logic controllers through data acquisition device (DAQ) this manner (FLC). Further, results optimized using Particle Swarm Optimization (PSO) technique. While previous systems 15 fault conditions, we have just 8 conditions obtain results.