Details
| Translated title of the contribution | Self-parameterising process monitoring systems-Self-adjusting process monitoring strategies for series production |
|---|---|
| Original language | German |
| Pages (from-to) | 487-491 |
| Number of pages | 5 |
| Journal | WT Werkstattstechnik |
| Volume | 107 |
| Issue number | 7-8 |
| Publication status | Published - Jul 2017 |
Abstract
Modern machine tool monitoring systems are able to detect process errors in time and thus prevent damages. However, monitoring of small batches and complex machining processes requires a lot of parameterization, restricting the use of process monitoring systems. This article presents an approach for a self-parameterising moni- toring system with three consecutive stages: The segmentation of the processing procedure, the selection of the monitored features and the self-evaluation and-adjustment of the monitoring system.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Automotive Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: WT Werkstattstechnik, Vol. 107, No. 7-8, 07.2017, p. 487-491.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Selbstparametrierende Prozessüberwachungssysteme
T2 - Selbstanpassende Prozessüberwachungsstrategien für die Serienfertigung
AU - Denkena, B.
AU - Shanib, M.
AU - Damm, J.
AU - Bergmann, B.
PY - 2017/7
Y1 - 2017/7
N2 - Modern machine tool monitoring systems are able to detect process errors in time and thus prevent damages. However, monitoring of small batches and complex machining processes requires a lot of parameterization, restricting the use of process monitoring systems. This article presents an approach for a self-parameterising moni- toring system with three consecutive stages: The segmentation of the processing procedure, the selection of the monitored features and the self-evaluation and-adjustment of the monitoring system.
AB - Modern machine tool monitoring systems are able to detect process errors in time and thus prevent damages. However, monitoring of small batches and complex machining processes requires a lot of parameterization, restricting the use of process monitoring systems. This article presents an approach for a self-parameterising moni- toring system with three consecutive stages: The segmentation of the processing procedure, the selection of the monitored features and the self-evaluation and-adjustment of the monitoring system.
UR - http://www.scopus.com/inward/record.url?scp=85031661516&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:85031661516
VL - 107
SP - 487
EP - 491
JO - WT Werkstattstechnik
JF - WT Werkstattstechnik
IS - 7-8
ER -