Tool-Based Approach for the Develepment of Self-Optimizing Systems With Solution Patterns

2010 ◽  
Author(s):  
Roman Dumitrescu ◽  
Ju¨rgen Gausemeier ◽  
Sascha Kahl
Keyword(s):  
Information Technology ◽  
Mathematical Optimization ◽  
Work Flow ◽  
Mechatronic Systems ◽  
Control Engineering ◽  
Effective Work ◽  
Domain Specific ◽  
Operation Conditions ◽  
Software Engineers ◽  
And Storage

Machines are omnipresent. They produce, they transport. Machines facilitate work and assist. The increasing penetration of mechanical engineering by information technology enables considerable benefits. This circumstance is expressed by the term mechatronics, which means the close interaction of mechanics, electronics, control engineering and software engineering to improve the behavior of a technical system. The progressive integration of information technology will enable mechatronic systems with partial intelligence. We refer to such systems as self-optimizing systems. Self-optimizing systems have the ability to react autonomously and flexibly on changing operation conditions. The design of such systems is an even more interdisciplinary task than the design of conventional mechatronic systems. Additionally to mechanical, electrical, control and software engineers also experts from mathematical optimization and artificial intelligence are involved. As a consequence a domain-spanning methodology is necessary in order to guarantee an effective work flow between the participating developers from various domains and their domain-specific methods, terminologies and solutions. This contribution presents such a methodology. The main focus, however, lies on harnessing of experimental knowledge for the development of self-optimizing systems. This includes the generation and storage of once proven design solutions as well as a tool for the effective and domain-spanning reuse.

Computer Support for the Identification of Solution Patterns for the Conceptual Design of Advanced Mechatronic Systems

2012 ◽  
Author(s):  
Roman Dumitrescu ◽  
Harald Anacker ◽  
Frank Bauer ◽  
Jürgen Gausemeier
Keyword(s):  
Information And Communication Technologies ◽  
Intelligent Systems ◽  
Mathematical Optimization ◽  
Communication Technologies ◽  
Functional System ◽  
Computer Support ◽  
Mechatronic Systems ◽  
Effective Work ◽  
Domain Specific ◽  
Information And Communication

Within the last years mechatronics as a self-contained discipline doubtlessly shaped the development of technical systems. Mechatronics means the close interaction of mechanics, electronics, control engineering and software engineering in order to achieve a better systems behavior. Due to the outstanding deployment of information and communication technologies, the functionality of mechatronic systems will go far beyond the known standards with the intention to increase their robustness, flexibility and reliability. The objective is to develop intelligent systems that react autonomously on changing environmental conditions and optimize their behavior during operation. The design of such advanced mechatronic systems is a challenge. Additionally to mechanical, electrical, control and software engineers also expertise from mathematical optimization, artificial intelligence and even cognitive science is necessary. This requires an effective and continuous cooperation and communication between developers from different domains during the whole development process. As a consequence a domain-spanning methodology is necessary in order to guarantee an effective work flow between the participating developers from various domains and their domain-specific methods, terminologies and solutions. For this purpose an ontology-based computer support will be presented, that facilitates the systems engineer by analyzing the functional system model and identifying convenient solutions. This includes the generation and storage of once proven design solutions as well as the search for the effective and domain-spanning reuse.

Automatic Verification of Modeling Rules in Systems Engineering for Mechatronic Systems

2013 ◽  
Author(s):  
Lydia Kaiser ◽  
Roman Dumitrescu ◽  
Jörg Holtmann ◽  
Matthias Meyer
Keyword(s):  
Systems Engineering ◽  
Degrees Of Freedom ◽  
System Model ◽  
Object Constraint Language ◽  
Mechatronic Systems ◽  
Control Engineering ◽  
Holistic View ◽  
Constraint Language ◽  
Software Engineers ◽  
Effective Product

Mechatronics is the close interaction of mechanics, electronics, control engineering and software engineering. The increasing complexity of mechatronic systems results in a challenging development process and particularly requires a consistent comprehension of the tasks between all the engineers involved. Especially during the early design phases, the communication and cooperation between the mechanical, electrical, control and software engineers is necessary to establish a basis for efficient and effective product development. The approach of Model-Based Systems Engineering focuses on this aspect by means of an abstract but superordinate system model. It enables a holistic view of the system. The system model can be specified using the Systems Modeling Language (SysML). The language allows many degrees of freedom to specify a fact, bearing in mind that different system architects can specify the same fact in different ways. This leads to system models that can be interpreted in many ways. Thus, these models are hard to consistently compare and interpret, resulting in communication issues. In order to tackle this problem, we present a concept that uses modeling rules supporting model comparability. We formalize them by means of checks implemented in the programming language Java and the Object Constraint Language (OCL) in order to automatically verify the system model’s compliance with these rules.

scholarly journals Gradual Wear Diagnosis of Outer-Race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1486
Author(s):  
Israel Zamudio-Ramirez ◽  
Roque A. Osornio-Rios ◽  
Jose A. Antonino-Daviu ◽  
Jonathan Cureño-Osornio ◽  
Juan-Jose Saucedo-Dorantes
Keyword(s):  
Kinematic Chain ◽  
Industrial Applications ◽  
Electric Motors ◽  
Feed Forward Neural Network ◽  
Mechatronic Systems ◽  
Linear Discriminant ◽  
Bearing Faults ◽  
Outer Race ◽  
Non Invasive ◽  
Operation Conditions

Electric motors have been widely used as fundamental elements for driving kinematic chains on mechatronic systems, which are very important components for the proper operation of several industrial applications. Although electric motors are very robust and efficient machines, they are prone to suffer from different faults. One of the most frequent causes of failure is due to a degradation on the bearings. This fault has commonly been diagnosed at advanced stages by means of vibration and current signals. Since low-amplitude fault-related signals are typically obtained, the diagnosis of faults at incipient stages turns out to be a challenging task. In this context, it is desired to develop non-invasive techniques able to diagnose bearing faults at early stages, enabling to achieve adequate maintenance actions. This paper presents a non-invasive gradual wear diagnosis method for bearing outer-race faults. The proposal relies on the application of a linear discriminant analysis (LDA) to statistical and Katz’s fractal dimension features obtained from stray flux signals, and then an automatic classification is performed by means of a feed-forward neural network (FFNN). The results obtained demonstrates the effectiveness of the proposed method, which is validated on a kinematic chain (composed by a 0.746 KW induction motor, a belt and pulleys transmission system and an alternator as a load) under several operation conditions: healthy condition, 1 mm, 2 mm, 3 mm, 4 mm, and 5 mm hole diameter on the bearing outer race, and 60 Hz, 50 Hz, 15 Hz and 5 Hz power supply frequencies

scholarly journals Rapid Gas Hydrate Formation—Evaluation of Three Reactor Concepts and Feasibility Study

Molecules ◽  
2021 ◽  
Vol 26 (12) ◽  
pp. 3615
Author(s):  
Florian Filarsky ◽  
Julian Wieser ◽  
Heyko Juergen Schultz
Keyword(s):  
Gas Hydrates ◽  
Gas Hydrate ◽  
Hydrate Formation ◽  
Synthetic Natural Gas ◽  
Operation Conditions ◽  
Gas Hydrate Formation ◽  
Gas Conditioning ◽  
And Storage ◽  
Economic Considerations ◽  
High Storage

Gas hydrates show great potential with regard to various technical applications, such as gas conditioning, separation and storage. Hence, there has been an increased interest in applied gas hydrate research worldwide in recent years. This paper describes the development of an energetically promising, highly attractive rapid gas hydrate production process that enables the instantaneous conditioning and storage of gases in the form of solid hydrates, as an alternative to costly established processes, such as, for example, cryogenic demethanization. In the first step of the investigations, three different reactor concepts for rapid hydrate formation were evaluated. It could be shown that coupled spraying with stirring provided the fastest hydrate formation and highest gas uptakes in the hydrate phase. In the second step, extensive experimental series were executed, using various different gas compositions on the example of synthetic natural gas mixtures containing methane, ethane and propane. Methane is eliminated from the gas phase and stored in gas hydrates. The experiments were conducted under moderate conditions (8 bar(g), 9–14 °C), using tetrahydrofuran as a thermodynamic promoter in a stoichiometric concentration of 5.56 mole%. High storage capacities, formation rates and separation efficiencies were achieved at moderate operation conditions supported by rough economic considerations, successfully showing the feasibility of this innovative concept. An adapted McCabe-Thiele diagram was created to approximately determine the necessary theoretical separation stage numbers for high purity gas separation requirements.

scholarly journals Mathematical Optimization Model for Truck Scheduling in a Distribution Center with a Mixed Service-Mode Dock Area

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Gustavo Correa Issi ◽  
Rodrigo Linfati ◽  
John Willmer Escobar
Keyword(s):  
Mathematical Optimization ◽  
Distribution Center ◽  
Mixed Integer ◽  
Cross Docking ◽  
Truck Scheduling ◽  
Logistics Strategy ◽  
Service Mode ◽  
Reducing Costs ◽  
And Storage

Cross-docking is a logistics strategy in which products arriving at a distribution center are unloaded from inbound trucks and sorted for transfer directly to outbound trucks, reducing costs and storage and product handling times. This paper addresses a cross-docking problem by designing a mixed-integer linear programming (MILP) model to determine a schedule for inbound and outbound trucks in a mixed service-mode dock area that minimizes the time from when the first inbound truck arrives until the last outbound truck departs (makespan). The model is developed using AMPL software with the CPLEX and Gurobi solvers, which provide results for different instances, most of these with actual shift data from an integrated distribution center of a multinational food company located in Concepción, Chile. The results obtained from the case study are notable and show the effectiveness of the proposed mathematical model.

Automating the audience commodity: The unacknowledged ancestry of programmatic advertising

2019 ◽  
Vol 21 (11-12) ◽  
pp. 2366-2385 ◽  
Author(s):  
Lee McGuigan
Keyword(s):  
Information Technology ◽  
Data Processing ◽  
Real Time ◽  
Mathematical Optimization ◽  
Leading Edge ◽  
Digital Data ◽  
Data Driven ◽  
Commercial Media ◽  
History Of ◽  
History Of Information

Programmatic advertising describes techniques for automating and optimizing transactions in the audience marketplace. Facilitating real-time bidding for audience impressions and personalized targeting, programmatic technologies are at the leading edge of digital, data-driven advertising. But almost no research considers programmatic advertising within a general history of information technology in commercial media industries. The computerization of advertising and media buying remains curiously unexamined. Using archival sources, this study situates programmatic advertising within a longer trajectory, focusing on the incorporation of electronic data processing into the spot television business, starting in the 1950s. The article makes three contributions: it illustrates that (1) demands for information, data processing, and rapid communications have long been central to advertising and media buying; (2) automation “ad tech” developed gradually through efforts to coordinate and accelerate transactions; and (3) the use of computers to increase efficiency and approach mathematical optimization reformatted calculative resources for media and marketing decisions.

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