A time-delay analysis method for the variables of grinding process. Issue 21 (2018)

• Record Type: Journal Article
• Authors: Yu, Gang; Zhou, Junwu; Wang, Qingkai; Zhao, Jianjun
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 21(2018)
• Page Start: 88
• Page End: 93
• Publication Date: 2018
• Subjects: Time-delay analysis -- Wavelet de-noising -- Cross-correlation analysis -- Grinding process; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.09.397
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Data based expert knowledge mining is very important for intelligent and optimal grinding process control. However, the original process data includes noise, and there is a certain time delay between the variables of grinding process. These factors bring some difficulties to the extraction of expert knowledge based on data analysis. To solve this problem, a method of combining wavelet de-noising with cross-correlation is proposed for the time-delay analysis of variables in grinding process. The case study on the grinding process shows the effectiveness of the proposed method.