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Carlos Paiz Gatica
Detmold
6Publications
2H-index
14Citations
Publications 6
Newest
#1Carlos Paiz Gatica (Detmold)H-Index: 2
#2Marco Platzner (University of Paderborn)H-Index: 25
Machine learning algorithms play a significant role for the realization of industrial analytics functions, such as predictive maintenance. This paper first outlines the workflow and topology variants for industrial analytics, and then focuses on the efficient realization of machine learning algorithms on edge devices using reconfigurable System-on-Chip architectures, showing the benefits of an optimized application-specific realization.
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#1Carlos Paiz Gatica (Detmold)H-Index: 2
#2Alexander Boschmann (Detmold)H-Index: 1
This paper shows how automation components can be enhanced with self-monitoring capabilities, which are more effective than traditional rule-based methods, by using Industrial Analytics approaches. Two application examples are presented to show how this approach allows the realization of a predictive maintenance strategy, while drastically reducing the realization effort. Furthermore, the benefits of a flexible architecture combining edge- and cloud-computing for the realization of such monitori...
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Sep 1, 2016 in ETFA (Emerging Technologies and Factory Automation)
#1Carlos Paiz Gatica (Detmold)H-Index: 2
#2Markus Koester (Detmold)H-Index: 2
Last.Marek MeyerH-Index: 1
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A key challenge in nowadays machinery applications is to guaranty availability and to increase productivity while reducing production costs. Companies, which are able to use their produced data (e.g., process values) to overcome this challenge, will have a significant competitive advantage. This paper shows how data-analytics approaches can be used to realize predictive maintenance solutions, taking advantage of already existing data of production facilities, and reducing the realization effort....
5 CitationsSource
#1Jan Stefan MichelsH-Index: 1
#2Carlos Paiz GaticaH-Index: 2
Last.Markus KösterH-Index: 1
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Industrie 4.0 verspricht produzierenden Unternehmen mit der Digitalisierung und Vernetzung ihrer Wertschopfungsprozesse ein signifikantes Potenzial. Neben der Steigerung der Flexibilitat und der Effizienz ist die stete Verfugbarkeit und Optimierung der Produktion das wesentliche Ziel, um das Beste aus den Anlagen herauszuholen und die Wettbewerbsfahigkeit zu sichern. Im Beitrag werden Technologien und Losungsansatze fur die Erkennung von Anomalien und Ineffizienzen, fur die Informationstranspare...
2 CitationsSource
#1Alexander Maier (Ostwestfalen-Lippe University of Applied Sciences)H-Index: 8
#2Oliver Niggemann (Ostwestfalen-Lippe University of Applied Sciences)H-Index: 14
Last.Carlos Paiz Gatica (Detmold)H-Index: 2
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A key challenge in model-based design approaches is the modeling of time-dependent systems. A manual modeling often proves to be very demanding in terms of time and cost, because exact knowledge of the device or process to be modeled is required. This again requires highly skilled human resources. The development of an exact model can be tedious and requires expert knowledge gathered by human observations.
7 CitationsSource
#1Alexander MaierH-Index: 8
#2Carlos Paiz GaticaH-Index: 2
Last.Jan Stefan MichelsH-Index: 1
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