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Nasser Jazdi
University of Stuttgart
50Publications
7H-index
296Citations
Publications 50
Newest
Nada Sahlab (University of Stuttgart), Nasser Jazdi7
Estimated H-index: 7
(University of Stuttgart)
+ 6 AuthorsGünther Kalka
This contribution describes a novel approach for developing a medication assistance system, namely a pill dispenser. The approach supports mobile and stationary use and applies IoT features for the system to be interconnected and remain synchronized. Based on a user survey and a literature review, functional requirements for the pill dispenser have been derived and use case scenarios conceptualized, followed by a rudimentary software and hardware development.
Andreas Zeller (University of Stuttgart), Nasser Jazdi7
Estimated H-index: 7
(University of Stuttgart),
Michael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
The demand of customer-specific products leads to a fundamental change to manufacturing facilities. To adapt the facilities to new product types, frequently occurring functionality changes in industrial automation systems are expected. Functionality changes are primarily implemented by software changes. These software changes within the operation phase can be implemented, for instance, by over-the-air software updates or ad hoc integration of new components. The effects of these changes are ofte...
Published on Jan 1, 2019in Procedia CIRP
Benjamin Lindemann1
Estimated H-index: 1
(University of Stuttgart),
Fabian Fesenmayr (University of Stuttgart)+ 1 AuthorsMichael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
Abstract Process anomalies and unexpected failures of manufacturing systems are problems that cause a decreased quality of process and product. Current data analytics approaches show decent results concerning the optimization of single processes but lack in extensibility to plants with high-dimensional data spaces. This paper presents and compares two data-driven self-learning approaches that are used to detect anomalies within large amounts of machine and process data. Models of the machine beh...
Published on Oct 1, 2018
Rafael da Silva Mendonca (UFAM: Federal University of Amazonas), Andre Luiz Duarte Cavalcante1
Estimated H-index: 1
(UFAM: Federal University of Amazonas)
+ 1 AuthorsVicente Ferreira de Lucena7
Estimated H-index: 7
(UFAM: Federal University of Amazonas)
This Innovative Practice Work in Progress presents the proposal and the development of a simulator for an Evolvable Production System that aims to represent a complete mechatronic system, simulate its operation, and support the learning of associated subjects. A mechatronic system is composed of mechanical and electronic modules that in turn may be associated with a software layer that is responsible for the intelligence of the entire system. This intelligence comes through interactions among so...
Published on Aug 1, 2018
Philipp Marks2
Estimated H-index: 2
(University of Stuttgart),
Timo Müller (University of Stuttgart)+ 3 AuthorsMichael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
The paradigm of multi-agent systems is used in various application scenarios like manufacturing control or multi-agent assistance systems that aim at providing assistance to the user of the system in a specific task or situation. With an increasing number of applications of multi agent assistance systems in the industrial automation domain, the different architectures of these applications can be compared and differences and similarities can be identified. This paper presents the results of the ...
Mathias Liewald8
Estimated H-index: 8
(University of Stuttgart),
Celalettin Karadogan1
Estimated H-index: 1
(University of Stuttgart)
+ 2 AuthorsMichael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
Abstract Tracking each workpiece provides two major advantages in forging technology. First, the matching of physical workpiece with the monitored process information facilitates root-cause analysis for product quality. Second, the following process steps can be adapted according to the incoming workpiece properties to improve the robustness of hot forging process chain. The paper presents a general tracking methodology and tagging experiments on aluminium and steel forgings for harsh drop-forgi...
Published on May 1, 2018
Nasser Jazdi7
Estimated H-index: 7
(University of Stuttgart),
Philipp Marks2
Estimated H-index: 2
(University of Stuttgart)
The concept of cyber-physical systems introduces new technologies that enable new kinds of functionalities. At the same time, these technologies also pose new requirements for the reliability calculation of such systems. Runtime data of the system can be made available worldwide through the networking of components. This offers the possibility to use that data for a more accurate dynamic reliability calculation. Another aspect to consider in reliability calculation of CPS is that the system stru...
Published on Jan 1, 2018in IFAC-PapersOnLine
Benjamin Lindemann1
Estimated H-index: 1
(University of Stuttgart),
Celalettin Karadogan1
Estimated H-index: 1
(University of Stuttgart)
+ 2 AuthorsMichael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
Abstract Process anomalies and fluctuations in product quality are widespread problems in discrete manufacturing. There have been various control approaches to tackle the challenge. This paper presents a cross-process control approach that combines engineering knowledge and data analytics techniques. An initial rule basis is generated by experts using simulation models. To achieve a data driven enhancement concerning process and product quality, a PLC-based connector is developed to record and u...
Published on Jan 1, 2018in Procedia CIRP
Behrang Ashtari Talkhestani2
Estimated H-index: 2
(University of Stuttgart),
Nasser Jazdi7
Estimated H-index: 7
(University of Stuttgart)
+ 1 AuthorsMichael Weyrich5
Estimated H-index: 5
(University of Stuttgart)
Abstract Increasing product variety and the shortening of product lifecycles require a fast and inexpensive reconfiguration of existing manufacturing automation systems. To face this challenge one solution is a Digital Twin, which can be used to reduce the complexity and time of reconfiguration by early detection of design or process sequence errors of the system with a cross-domain simulation. For engineering the Digital Twin and systemically synchronizing the data of mechatronic components in ...
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