Journal article
Cuscore Statistics to Monitor a Non-stationary System
Quality and reliability engineering international, Vol.23(3), pp.303-325
04/2007
DOI: 10.1002/qre.791
Abstract
We investigate the monitoring of a process subject to minimum mean-squared error feedback control using cumulative score (Cuscore) charts. Specifically, we design Cuscore statistics to discover spike, step, bump, and ramp signals hidden in non-stationary disturbance for feedback-controlled processes. We develop the adjustment and monitoring policies for combinations of process dynamics, disturbance, and signal that are practical in industry. We also address issues of detection probabilities and distributions using simulation. A manufacturing case study is used to illustrate the utility of the Cuscore approach. Copyright © 2006 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- Cuscore Statistics to Monitor a Non-stationary System
- Creators
- Harriet Black Nembhard - Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, U.S.ARené Valverde-Ventura - Eli Lilly and Company, Tippecanoe Laboratories, 1650 Lilly Road, Lafayette, IN 47909, U.S.A
- Resource Type
- Journal article
- Publication Details
- Quality and reliability engineering international, Vol.23(3), pp.303-325
- Publisher
- John Wiley & Sons, Ltd
- DOI
- 10.1002/qre.791
- ISSN
- 0748-8017
- eISSN
- 1099-1638
- Number of pages
- 23
- Language
- English
- Date published
- 04/2007
- Academic Unit
- Industrial and Systems Engineering; Engineering Administration
- Record Identifier
- 9984121964602771
Metrics
9 Record Views