Investigation of Multivariate Profile Monitoring on Complex Thin-walled Components Batch Machined using a Sliding Time Window Cluster Method

Wang Pei; Zhang Yang; Feng Bo; Liu Dekun; Xie Shengtuo

首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Investigation of Multivariate Profile Monitoring on Complex Thin-walled Components Batch Machined using a Sliding Time Window Cluster Method

【24h】

Investigation of Multivariate Profile Monitoring on Complex Thin-walled Components Batch Machined using a Sliding Time Window Cluster Method

机译：使用滑动时间窗口聚类方法对复杂薄壁部件批量加工复杂薄壁部件批量的多变量曲线监测研究

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Aiming at solving the problems of low precision of quality monitoring and low sensitivity of fluctuation detection in the batch machining process of complex thin-walled parts, the multivariate profile monitoring approach was proposed. The extended error stream method was used to establish profile representation of the multi-operation machining processing fluctuation, which could describe the fluctuation of multi-part production cycle and the decline of production line represented by error sources. On this basis, the monitoring statistics of the batch complex thin-wall part machining process were built based on one-step ahead forecast error and Tsquare (OSFE-T square). Then, the profile monitoring method was developed based on the OSFE-T square monitoring model of batch parts on the different operation using the sliding time window cluster-based method. Through the Monte-Carlo simulation, the fraction correctly classified, sensitivity, specificity, false positive and false negative of the quality monitoring method were analyzed respectively, which proved that the proposed method had better performance. Finally, amachining simulation instance was presented including ten operations demonstrated the effectiveness of the machining error control method. Compared with other alternative methods, the proposed method in this paper has more advantages in the sensitivity of fluctuation detection.

机译：None

著录项

来源
《International Journal of Computer Integrated Manufacturing》 |2021年第3期|共19页
作者
Wang Pei; Zhang Yang; Feng Bo; Liu Dekun; Xie Shengtuo;
展开▼
作者单位

Xidian Univ Sch Mechanoelect Engn Xian Peoples R China;

Tianjin Univ Commerce Sch Management Tianjin Peoples R China;

AVIC Xian Aeronaut Comp Tech Res Inst Xian Peoples R China;

Xidian Univ Sch Mechanoelect Engn Xian Peoples R China;

Xidian Univ Sch Mechanoelect Engn Xian Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类计算机集成制造;
关键词
Complex thin-walled parts; batch machining process; sliding time window; clustering; profile monitoring; t squared statistics;

机译：复杂的薄壁部分;批量加工过程;滑动时间窗口;聚类;配置文件监控;T平方统计;

相似文献

外文文献
中文文献
专利

1. Monitoring of Real-Time Complex Deformed Shapes of Thin-Walled Channel Beam Structures Subject to the Coupling Between Bi-Axial Bending and Warping Torsion [J] . Rui Lu, Zhanjun Wu, Qi Zhou, 结构耐久性与健康监测(英文) . 2019,第003期
2. Online Batch Process Monitoring Based on Just-in-Time Learning and Independent Component Analysis [J] . WANG Li, SHI Hong-bo 东华大学学报（英文版） . 2016,第006期
3. Production performance forecasting method based on multivariate time series and vector autoregressive machine learning model for waterflooding reservoirs [J] . ZHANG Rui, JIA Hu 石油勘探与开发:英文版 . 2021,第001期
4. Combination Method of Principal Component Analysis and Support Vector Machine for On-line Process Monitoring and Fault Diagnosis [J] . 东华大学学报（英文版） . 2006,第001期
5. A sliding window-based multi-stage clustering and probabilistic forecasting approach for large multivariate time series data [J] . Ren Lei, Wei Yongchang, Cui Jin, Journal of statistical computation and simulation . 2017,第13a15期

机译：大型多元时间序列数据的基于滑动窗口的多阶段聚类和概率预测方法
6. Simulation and experimental investigations of complex thermal deformation behavior of wire electrical discharge machining of the thin-walled component of Inconel 718 [J] . Zhang Yanming, Guo Shiyi, Zhang Zhen, Journal of Materials Processing Technology . 2019,第期

机译：Inconel 718薄壁组分电线电气放电加工复杂热变形行为的仿真及实验研究
7. Precise chatter monitoring of thin-walled component milling process based on parametric time-frequency transform method [J] . Journal of Materials Processing Technology . 2020,第期

机译：基于参数 - 频率变换方法的薄壁组件铣削过程精确的颤动监测
8. Multivariate Statistical Batch Process Monitoring Using Dynamic Independent Component Analysis [C] . Hamza Albazzaz, Xue Z.Wang European Symposium on Computer Aided Process Engineering . 2006

机译：使用动态独立分量分析的多变量统计批处理监控
9. Multivariate statistical monitoring and fault diagnosis of dynamic batch processes with two-time-dimensional strategy. [D] . Yao, Yuan. 2009

机译：具有二维策略的动态批处理过程的多元统计监视和故障诊断。
10. Frontoparietal and salience network alterations in obsessive–compulsive disorder: insights from independent component and sliding time window analyses [O] . Deniz A. Gürsel, Lena Reinholz, Benno Bremer, 2020

机译：底前和显着网络改变强迫症：独立组件和滑动时间窗口分析的见解
11. Mini-laparoscopic pancerato-duodenectomy by Shuriken shaped umbilicoplasty with real time moving window's method with real time sliding window's method [O] . Y. Sato, Y. Hara, K. Nakahara, 2016

机译：通过实时移动窗口的迷你腹腔镜术术术术通过实时滑动窗口方法的迷你腹腔镜孔隙切除术

Investigation of Multivariate Profile Monitoring on Complex Thin-walled Components Batch Machined using a Sliding Time Window Cluster Method

摘要

著录项

相似文献

相关主题

期刊订阅