压缩机异音在线识别方法及试验研究  

Method and experimental study on online recognition of compressor abnormal sound

作　　者：汪超[1,3] 舒向东 杨振亚 杨晓玲 廖玮 杨伟成 WANG Chao;SHU Xiangdong;YANG Zhenya;YANG Xiaoling;LIAO Wei;YANG Weicheng(China Household Electric Appliance Research Institute,Beijing 100037;Sichuan Danfu Environment Technology Co.,Ltd.,Meishan 620460;Beijing CHEARI Zhirui Intelligent Equipment Technology Co.,Ltd.,Beijing 100037;College of intelligent science and engineering,Harbin Engineering University,Harbin 150001)

机构地区：[1]中国家用电器研究院,北京100037 [2]四川丹甫环境科技有限公司,四川眉山620460 [3]北京中家智锐智能装备科技有限公司,北京100037 [4]哈尔滨工程大学智能科学与工程学院,黑龙江哈尔滨150001

出　　处：《家电科技》2023年第3期32-36,共5页Journal of Appliance Science & Technology

基　　金：工业和信息化部“质量分级评价技术试点应用”(2019-00909-1-2)。

摘　　要：随着家电制造业的快速发展,家电生产线现代化、信息化和人工智能技术的逐步提升已成为行业中的热门话题。传统家电生产流水线中使用人工判别异音的方法已经无法满足高速发展的需求。为了解决这一问题,提出了一种基于人工智能的家电异音、杂音的在线识别新方法,并成功应用于压缩机的实际生产线,取得了良好的成果。扩大该方法的应用范围不仅能够提高家电生产的效率和质量,还可以减少劳动力成本和缩短生产周期。同时,该技术也具有广泛的应用前景,可以应用于其他领域,如汽车制造业等。With the rapid development of the home appliance manufacturing industry,the modernization of home appliance production lines,the gradual improvement of information technology,and artificial intelligence technology have become hot topics in the industry.The traditional method of manually distinguishing abnormal sounds in the production line of household appliances cannot meet the needs of rapid development.To address this issue,proposes a new method based on artificial intelligence for online recognition of abnormal and noisy household appliances,and has successfully applied it to the actual production line of air conditioning compressors,achieving good results.Expanding the application scope of this method can not only improve the efficiency and quality of household appliance production,but also reduce labor costs and shorten production cycles.At the same time,this technology also has broad application prospects and can be applied to other fields,such as the automotive manufacturing industry.

关 键 词：人工智能 异音检测 家电制造 

分 类 号：TB652[一般工业技术—制冷工程] TP181[自动化与计算机技术—控制理论与控制工程]