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4 cze 2024 · Discover the benefits of AI in automotive troubleshooting, predictive maintenance, and remote diagnostics. Learn how to set up and use AI for vehicle repair and explore the future of AI technology in the automotive industry.
24 sie 2022 · The digital transformation of vehicles enables automakers to better diagnose abnormal conditions and predict the remaining useful life of dismantled components, thereby improving vehicle performance and safety.
3 wrz 2021 · This article reviews the application of AI techniques in motor FDD in recent years. AI-based FDD is divided into two main steps: feature extraction and fault classification. The application of different signal processing methods in feature extraction is discussed.
20 gru 2021 · The document introduces AI in vehicle technology and explores AI algorithms in autonomous driving. It discusses the impacts of predictive failure analysis and the movement toward autonomous...
Chapters systematically address condition monitoring and fault detection in EV motors and inverters. Four case studies are including, covering AI based electric motor fault diagnosis, AI based inverter/IGBT fault diagnosis, AI based bearing fault diagnosis, and AI based gearbox fault diagnosis.
17 lis 2023 · In such a case, it could be possible for a driver to be unaware of a potential issue with their vehicle while the AI picks up diagnostic codes that communicate problems to a shop before any warning lights appear on the vehicle’s dashboard.
2 paź 2023 · Abstract. Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, most AI-based prognostics and health management in the automotive industry ignore textual descriptions of the experienced problems or symptoms.
