Engine Fault Detection System (Autoguard)
This report presents the development of a mobile application named AutoGuard, which serves as a comprehensive anomaly detection system specifically designed for the automotive industry. AutoGuard utilizes advanced machine learning techniques, including statistical modeling, to analyze data collected from various sensors in a vehicle’s engine. The application not only detects potential faults but also provides real-time diagnostics by processing and visualizing the information in a user-friendly format. Extensive testing and analysis demonstrate the system’s ability to enhance vehicle safety and maintenance efficiency, making it a valuable tool for both drivers and automotive professionals.
Authors
- Timon Trifonov
Institutions
- D. A. Tsenov Academy of Economics (BG)
Publication Details
- Journal
- Science, Engineering & Education.
- Published
- 2024-11-18
- DOI
- https://doi.org/10.59957/see.v9.i1.2024.9
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00