摘要
阐述传统的故障诊断方法,探讨基于机器学习和人工智能的新技术在设备故障诊断中的应用。通过对比实验和案例分析,证明新技术在提高故障诊断准确性和效率方面的优势,并展望发展趋势。
This paper describes traditional fault diagnosis methods and explores the application of new technologies based on machine learning and artificial intelligence in equipment fault diagnosis.It proves the advantages of new technologies in improving the accuracy and efficiency of fault diagnosis through comparative experiments and case analysis,and looks forward to the development trend.
作者
吴志勇
WU Zhiyong(State Grid Ningxia Wuzhong Power Supply Company,Ningxia 751100,China)
出处
《电子技术(上海)》
2024年第7期94-95,共2页
Electronic Technology
关键词
故障诊断
机器学习
人工智能
fault diagnosis
machine learning
artificial intelligence