How to Implement Automotive Fault Diagnosis Using Artificial Intelligence Scheme

• Published in: Micromachines (Basel) Vol. 13; no. 9; p. 1380
• Main Authors: Gong, Cihun-Siyong Alex, Su, Chih-Hui Simon, Chen, Yu-Hua, Guu, De-Yu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 24.08.2022; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; artificial intelligence (AI); Automobiles; Big Data; Communication; Deep learning; Failure; Fault detection; Fault diagnosis; Fault location (Engineering); Fuzzy logic; Internet of Things; Internet of Vehicles; Machine learning; machine learning (ML); Metal fatigue; Methods; modeling; Optimization; Prediction models; reinforcement learning; Reliability (Engineering); Review; Sensors; Subject specialists; supervised learning; unsupervised learning; Vehicles; Taiwan

The necessity of vehicle fault detection and diagnosis (VFDD) is one of the main goals and demands of the Internet of Vehicles (IoV) in autonomous applications. This paper integrates various machine learning algorithms, which are applied to the failure prediction and warning of various types of vehi...