Self-adjusting process monitoring system in series production

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dc.identifier.uri http://dx.doi.org/10.15488/831
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/855
dc.contributor.author Denkena, Berend
dc.contributor.author Dahlmann, Dominik
dc.contributor.author Damm, J.
dc.date.accessioned 2016-12-16T07:50:12Z
dc.date.available 2016-12-16T07:50:12Z
dc.date.issued 2015
dc.identifier.citation Denkena, B.; Dahlmann, D.; Damm, J.: Self-adjusting process monitoring system in series production. In: Procedia CIRP 33 (2015), S. 233-238. DOI: https://doi.org/10.1016/j.procir.2015.06.042
dc.description.abstract Modern monitoring systems in machine tools are able to detect process errors promptly. Still, the application of monitoring systems is restricted by the complexity of parameterization for save monitoring. In most cases, only specially trained personnel can handle this job especially for multi-purpose machines. The aim of the research project "Proceed" is to figure out in which extent a self-parameterization and autonomous optimization of monitoring systems in industrial series production can be realized. Therefore, a self-adjusting and self-tuning process monitoring system for series production has been developed. This system is based on multi-criteria sensor signal evaluation and is able to assess its monitoring quality quantitatively. For this purpose, the complete process chain of parameterization has been automated. For series production it is assumed, that the first process is not defective. So, process sensitive features are identified by a correlation analysis with a reference signal. The reference signal is selected through an analysis of the process state by an expert system. To assess the monitoring quality resulting from automatic parameterization, normed specific values were used. These values describe the monitoring quality with the help of the distance between a feature and its threshold normed to signal amplitude and noise. A second indicator is the reaction of the monitoring system to a synthetic error added to signal a sequence. Thus it is possible to estimate monitoring quality corresponding to automatic parameterization. The validation is carried out by a comparison between the result of the assessment and the reaction ability of the monitoring system to real process errors from milling, drilling and turning processes. eng
dc.description.sponsorship DFG/DE 447/96–1
dc.language.iso eng
dc.publisher Amsterdam : Elsevier
dc.relation.ispartof 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014, 23-25 July 2014
dc.relation.ispartofseries Procedia CIRP 33 (2015)
dc.rights CC BY-NC-ND 4.0
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Intelligent eng
dc.subject Monitoring eng
dc.subject Process eng
dc.subject Errors eng
dc.subject Expert systems eng
dc.subject Industrial research eng
dc.subject Machine tools eng
dc.subject Manufacture eng
dc.subject Parameterization eng
dc.subject Process control eng
dc.subject Process monitoring eng
dc.subject Processing eng
dc.subject Quality control eng
dc.subject Signal processing eng
dc.subject Tuning eng
dc.subject Correlation analysis eng
dc.subject Monitoring system eng
dc.subject Multi-purpose machines eng
dc.subject Process monitoring system eng
dc.subject Reference signals eng
dc.subject Sensitive features eng
dc.subject Series production eng
dc.subject.ddc 670 | Industrielle und handwerkliche Fertigung ger
dc.title Self-adjusting process monitoring system in series production
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 22128271
dc.relation.doi https://doi.org/10.1016/j.procir.2015.06.042
dc.bibliographicCitation.volume 33
dc.bibliographicCitation.firstPage 233
dc.bibliographicCitation.lastPage 238
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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