家电异音在线自动检测的技术途径和系统架构研究

家电科技 ›› 2018, Vol. 0 ›› Issue (6): 37-39.

家电异音在线自动检测的技术途径和系统架构研究

王晶¹, 冯涛¹, 杨伟成², 杨晓玲², 白柱杰³

1.北京工商大学北京 100037;
2.中国家用电器研究院北京 100037;
3.青岛海尔洗衣机有限公司山东青岛 266101

出版日期:2018-06-01 发布日期:2019-07-15
作者简介:王晶, wangj@th.btbu.edu.cn

The technical approach and system architecture of household appliances online automatic abnormal sound detection

WANG Jing¹, FENG Tao¹, YANG Weicheng², YANG Xiaoling², BAI Zhujie³

1. Beijing Technology and Business University Beijing 100037;
2.China Household Electric Appliances Research Institute Beijing 100037;
3. Qingdao Haier Washing Machine Co., Ltd. Qingdao 266101

Online:2018-06-01 Published:2019-07-15

摘要/Abstract

摘要： 家电异音在线自动检测技术正受到家电生产企业的广泛关注,本文对家电在线异音自动检测的技术途径和系统架构进行了初步的阐述。对家电在线异音自动检测的两条技术途径的特点进行了说明和比较。简要描述了家电异音在线自动检测的系统架构和架构中各组成部分的相互关系。分析了家电异音在线自动检测的关键技术难点,并提出了原则性的解决方案。

关键词: 家电异音, 机器学习, 在线自动检测

Abstract: The automatic online detection technology for household appliances abnormal sounds is being widely concerned by household appliances manufacturers. This paper presents a preliminary explanation of the technical approaches and system architecture for household appliances online automatic abnormal sound detection. The characteristics of the two technical approaches for the automatic detection of online abnormal sounds in household appliances are described and compared. The detected system architecture and the relationship between the various components of the architecture are briefly described. This article analyzes the key technical difficulties in the online automatic detection of appliance noise, and proposes a principled solution.

Key words: Household appliances abnormal sound, Machine learning, Online automatic detection

王晶, 冯涛, 杨伟成, 杨晓玲, 白柱杰. 家电异音在线自动检测的技术途径和系统架构研究[J]. 家电科技, 2018, 0(6): 37-39.

WANG Jing, FENG Tao, YANG Weicheng, YANG Xiaoling, BAI Zhujie. The technical approach and system architecture of household appliances online automatic abnormal sound detection[J]. Journal of Appliance Science & Technology, 2018, 0(6): 37-39.