Monitoring Method of CIPCA Grinding Process Based on Multi-modal Data Characteristics
Author:
Affiliation:
1. Northeastern University,School of Information Science and Engineering 024-83687760,Shenyang,China,116086
2. Shandong Gold Mining (Laizhou) Co.,Ltd.,Shandong,China,261442
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327250.pdf?arnumber=10327250
Reference12 articles.
1. Adaptive CIPCA-based fault diagnosis scheme for uncertain time-varying processes
2. Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method
3. Quality monitoring in multistage manufacturing systems by using machine learning techniques;ismail;Journal of Intelligent Manufacturing,2021
4. CIPCA: Complete-Information-based Principal Component Analysis for Interval-valued Data;huiwen;Neurocomputing (Amsterdam),2012
5. Sensor fault detection based on principal component analysis for interval-valued data
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