Automotive Faults Dataset for Diagnostic and Maintenance Systems

This dataset contains structured data related to automotive faults, symptoms, diagnostic procedures, and resolution outcomes. It is designed to support research and development in vehicle fault detection, diagnostic expert systems, and machine learning models for automotive maintenance. The dataset includes detailed records of various vehicle issues, associated symptoms, step-by-step diagnosis procedures, and the final results.

Accompanying this structured data are four flowchart images (e.g., brake_faults_flowchart.png, electrical_faults_flowchart.png, engine_overheating_flowchart.png, transmission_faults_flowchart.png) that visually represent common diagnostic pathways and expert knowledge for key vehicle systems. These flowcharts complement the tabular data by illustrating the decision-making logic, enabling researchers and practitioners to better analyze patterns, train algorithms, and enhance automated diagnostic systems.

Keywords: automotive faults, vehicle diagnosis, fault symptoms, expert systems, machine learning, maintenance data