Research on Fault Detection and Diagnosis Technology for Computer Circuit Systems Based on Artificial Intelligence
This paper aims to explore the application of artificial intelligence-based fault detection and diagnosis technology in computer circuit systems.By reviewing the current development status of fault detection and diagnosis technology in circuit systems,analyzing its limitations and challenges,the solution based on artificial intelligence is introduced.The paper studies the key technologies of machine learning and deep learning in fault detection,such as data preprocessing,feature extraction,and model training.By efficiently identifying potential fault patterns in circuit systems and achieving accurate fault diagnosis through machine learning algorithms.In addition,it emphasizes the enormous potential of artificial intelligence based fault detection and diagnosis technology in improving the reliability and maintenance efficiency of circuit systems,providing important insights for the development of future intelligent maintenance systems.
artificial intelligencemachine learningcomputer circuitfault detection and diagnosis
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