Dynamic Fault Trees (DFTs) are powerful tools to drive the design of fault-tolerant systems. However, semantic pitfalls limit their practical utility for interconnected systems that require complex recovery strategies to maximize their reliability. This thesis discusses the shortcomings of DFTs in the context of analyzing Fault Detection, Isolation...
Markov processes have a long history of being used to model safety critical systems. However, with the development of autonomous vehicles and their increased complexity, Markov processes have been shown to not be sufficiently precise for reliability calculations. Therefore there has been the need to consider a more general stochastic process, namel...
Stress inside the chip results into deviations of the transistor performance due to the piezoresistive behavior of the silicon channels. In this thesis, micromechanical indentation is introduced to study stress effects on the electrical characteristics of CMOS transistors. The approach combines non-destructive indentation to induce well defined loc...
The progressing global digitalization is driving innovative network technologies, computation platforms, and data-driven services. The number of components such as sensors, actuators, computing, storage, and network nodes, as well as a variety of service applications increases and results in IT systems of high complexity. A complex system is prone ...
Die Windindustrie ist ein heterogener Markt, der mit zehntausenden Windenergieanlagen ein wesentlicher Garant für den Erfolg der Energiewende ist. Als zentrale Instanz in der Betriebsphase übernehmen technische Betriebsführer die Verantwortung für einen wirtschaftlichen und sicheren Betrieb dieser dezentralen und unbemannt betriebenen Anlagen. Um b...
The new Congress for intelligent Combining of Design, Casting, Computer Simulation, Checking and Cyclic Behaviour for efficient Cast Components (C(hoch)8) offers the opportunity to share experiences and knowledge in all of the disciplines involved in the product life cycle of cast components. The aim is to reach a shared understanding of the variou...
Anomaly detection in asset condition data is critical for reliable industrial asset operations. But statistical anomaly classifiers require certain amount of normal operations training data before acceptable accuracy can be achieved. The necessary training data are often not available in the early periods of assets operations. This problem ...
Bei der zyklischen Belastung von Faser-Kunststoff-Verbunden kommt es durch schädigungsbedingte Änderung der Steifigkeit über die gesamte Lebensdauer zu Umlagerungen von Beanspruchungen. Die vorliegende Arbeit untersucht Schädigungsprozesse auf der Mikroskala hinsichtlich ihrer Auswirkungen auf die homogenisierten Materialsteifigkeiten unidirektiona...
In quantified safety engineering, mathematical probability models are used to predict the risk of failure or hazardous events in systems. Markov processes have commonly been utilized to analyze the safety of systems modeled as discrete-state stochastic processes. In continuous time Markov models, transition time between states are exponentially dis...
Published in Journal of Applied Statistics
In this paper, a system of five components is studied; one of these components is a bridge network component. Each of these components has a non-constant failure rate. The system components have linear failure rate lifetime distribution. The given system is improved by using three methods: reduction, warm standby with perfect switch and warm standb...
