Deep learning based soft sensors for industrial machinery

Maschler, Benjamin; Ganssloser, Sören; Hablizel, Andreas; Weyrich, Michael

Deep learning based soft sensors for industrial machinery

dc.contributor	AVAT Automation GmbH	de
dc.contributor.author	Maschler, Benjamin
dc.contributor.author	Ganssloser, Sören
dc.contributor.author	Hablizel, Andreas
dc.contributor.author	Weyrich, Michael
dc.date.accessioned	2020-06-08T09:57:56Z
dc.date.available	2020-06-08T09:57:56Z
dc.date.issued	2020	de
dc.description.abstract	A multitude of high quality, high-resolution data is a cornerstone of the digital services associated with Industry 4.0. However, a great fraction of industrial machinery in use today features only a bare minimum of sensors and retrofitting new ones is expensive if possible at all. Instead, already existing sensors’ data streams could be utilized to virtually ‘measure’ new parameters. In this paper, a deep learning based virtual sensor for estimating a combustion parameter on a large gas engine using only the rotational speed as input is developed and evaluated. The evaluation focusses on the influence of data preprocessing compared to network type and structure regarding the estimation quality.	en
dc.identifier.uri	http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-109004	de
dc.identifier.uri	http://elib.uni-stuttgart.de/handle/11682/10900
dc.identifier.uri	http://dx.doi.org/10.18419/opus-10883
dc.language.iso	en	de
dc.relation.uri	doi:10.13140/RG.2.2.24401.56167/1	de
dc.rights	info:eu-repo/semantics/openAccess	de
dc.subject.ddc	004	de
dc.subject.ddc	600	de
dc.subject.ddc	620	de
dc.subject.ddc	621.3	de
dc.subject.ddc	670	de
dc.title	Deep learning based soft sensors for industrial machinery	en
dc.type	preprint	de
ubs.fakultaet	Informatik, Elektrotechnik und Informationstechnik	de
ubs.fakultaet	Fakultätsübergreifend / Sonstige Einrichtung	de
ubs.institut	Institut für Automatisierungstechnik und Softwaresysteme	de
ubs.institut	Fakultätsübergreifend / Sonstige Einrichtung	de
ubs.publikation.noppn	yes	de
ubs.publikation.typ	Preprint	de

Files

Original bundle

Now showing 1 - 1 of 1

Name:: Deep Learning Based Soft Sensors for Industrial Machinery.pdf
Size:: 359.59 KB
Format:: Adobe Portable Document Format
Description:

Download

License bundle

Now showing 1 - 1 of 1

Name:: license.txt
Size:: 3.39 KB
Format:: Item-specific license agreed upon to submission
Description:

Download

Collections

05 Fakultät Informatik, Elektrotechnik und Informationstechnik