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Modeling complex mechatronic systems containing parts such as mechanics, electronics and software is a major challenge for the engineering of automation production systems. As a result, many modeling languages as well as tools (e.g. petri nets or MATLAB/Simulink) and verification approaches (e.g. testing, simulation or formal verification) that focus on special challenges to model the mechatronic...
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with...
Machine and plant automation (M&PA) is becoming more and more complex, especially, as additional functionality is realized by a rising amount of software. In order to meet high requirements regarding the quality of these machines and plants, sophisticated methods for quality assurance (QA) are needed. Interaction diagrams have been established throughout different domains for specifying use cases,...
In this paper, dynamic simulation methods for reliability evaluation of common industry-based control system architectures are investigated. Control system design often employs complex reliability structures in the forms of several levels of software and hardware redundancies, hot and cold standby systems. This is required in order to achieve certain plant availability and safety functions. Control...
Degradation information of a complex mechanical system reflects the system's health status and is useful to predict the future progression of the fault or anomalous behaviors. This paper proposed a two-stage strategy to predict the future health status of a bearing by utilizing the bearing's degradation information. The first stage was implemented to monitor the bearing's health status until a degradation...
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