机器学习在数字电视发射机故障分析与预测中的应用  

Application of Machine Learning in Fault Analysis andrediction of Digital TV Transmitters

作　　者：赵志刚 ZHAO Zhigang(Television Station,Kouqian Town,Yongji,Jilin,132200,China)

机构地区：[1]吉林省永吉县口前镇三三一电视台,吉林132200

出　　处：《电子技术(上海)》2023年第10期320-321,共2页Electronic Technology

摘　　要：阐述地面数字电视发射机与机器学习算法的特点,探讨基于机器学习的地面数字电视广播发射机故障预测和维护方案设计,包括数据采集和预处理、模型构建和训练、预测与维护策略制定、系统设计和实现。This paper describes the characteristics of terrestrial digital television transmitters andmachine learning algorithms,and explores the design of fault prediction and maintenance schemesfor terrestrial digital television broadcasting transmitters based on machine learning,including dataacquisition and preprocessing,model construction and training,prediction and maintenance strategyformulation,system design and implementation.

关 键 词：机器学习 地面数字广播发射机 故障数据分析 预测维护 

分 类 号：TN948.53[电子电信—信号与信息处理] TP181[电子电信—信息与通信工程]