The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

作     者：Hao REN Nan LI Yi CHAI Jianfeng QU Qiu TANG Lei HUANG 

作者机构：School of Automation Chongqing University Key Laboratory of Complex System Safety and Control Ministry of Education School of Computer Science and Technology Huaiyin Normal University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2019年第62卷第12期

页      面：269-271页

核心收录：

学科分类：12[管理学] 0808[工学-电气工程] 07[理学] 08[工学] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61633005,61673076,61773080) Natural Science Foundation of Chongqing,China(Grant No.cstc2016jcyj A0504) Fundamental Research Funds for the Central Universities(Grant Nos.106112016CDJXZ238826,2018CDYJSY0055) Natural Science Research Project of the Higher Education Institutions of Jiangsu Province(Grant No.18KJB510006) 

主　　题：The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis 

摘      要：Dear editor,Generally, one of the most prominent features of modern industrial systems is the massive amount of data collected from various sensors, which poses great challenges to traditional methods of captur-