电声器件在有源噪声控制系统中的故障检测与管理技术应用  

Application of Fault Detection and Management Techniques for Electroacoustic Devices in Active Noise Control Systems

作　　者：毛伟 黄晨 张维维 张晴 MAO Wei;HUANG Chen;ZHANG Weiwei;ZHANG Qing(Bayi Rubber Co.,Ltd.,Zaozhuang 277000,China)

机构地区：[1]八亿橡胶有限责任公司,山东枣庄277000

出　　处：《电声技术》2024年第1期119-121,共3页Audio Engineering

摘　　要：介绍有源噪声控制系统的基本原理及其在现代工业和生活中的应用重要性,分析电声器件故障诊断的关键技术,包括声学特性分析、电参数测试、信号处理技术、机器学习算法以及环境因素监测,强调了这些技术在提高故障检测准确性、预测潜在故障以及降低维护成本方面的重要性。This paper introduces the basic principle of active noise control system and its application importance in modern industry and life.Then,the key techniques of fault diagnosis of electroacoustic devices are analyzed in detail,including acoustic characteristic analysis,electrical parameter testing,signal processing technology,machine learning algorithm,and environmental factor monitoring.The importance of these technologies in improving the accuracy of fault detection,predicting potential failures,and reducing maintenance costs was highlighted.

关 键 词：有源噪声控制系统 电声器件 故障诊断技术 声学特性分析 

分 类 号：TB535.2[理学—物理]