التفاصيل البيبلوغرافية
| العنوان: |
Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. |
| المؤلفون: |
Shiyu Zhou1 szhou@engr.wisc.edu, Yu Ding2 yuding@iemail.tamu.edu, Yong Chen3 yong-chen@uiowa.edu, Jianjun Shi4 shihang@umich.edu |
| المصدر: |
Technometrics. Nov2003, Vol. 45 Issue 4, p312-325. 14p. |
| مصطلحات موضوعية: |
*QUALITY control, *STANDARDIZATION, *STATISTICAL sampling, *ANALYSIS of variance, *VARIANCES, MULTILEVEL models |
| مستخلص: |
Automatic in-process data collection techniques have been widely Used in complicated manufacturing processes in recent years. The huge amounts of product measurement data have created great opportunities for process monitoring and diagnosis. Given such product quality measurements, this article examines the dignosability of the process faults in a multistage manufacturing process using a linear mixed-effects model. Fault diagnosability is defined in a general way that does not depend on specific diagnosis algorithms. The concept of minimal diagnosable class is proposed to expose the "aliasing" structure among process faults in a partially diagnosable system. The algorithms and procedures needed to obtain the minimal diagnosable class and to evaluate the system-level diagnosability are presented. The methodology, which can he used for any general linear input-output system, is illustrated using a panel assembly process and an engine head machining process. [ABSTRACT FROM AUTHOR] |
|
Copyright of Technometrics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Business Source Index |
Full Text Finder