Complexity and uncertainty have impacted wind power systems and their applications.Commercial wind power asset exhibits complex system behaviour due tostochastic loading characteristics of its installation context. However, differentstakeholders’ practices in whole life cycle processes try to treat multi-disciplinarycomplexity issues. Moreover, wind power system failures, stoppages, faults, supportdelays and human/organizational errors provide a clear proof of increasingthe needs for dependability. Therefore, dependability is considered as an aggregatetheory for RAMS (Reliability, Availability, Maintainability, Safety & Supportability)in order to cope with complex systems (i.e. physical systems and their assetmanagement systems) and their behaviour phenomenon. Consequently, to addresswind power practical problem as one of the modern complex and interdependentsystems, it is worth to enhance both the way of how we look at dependability andthe method of inquiry. Technical system complexity, system interdependency andsystem learn-ability are the main challenges within system dependability field.Therefore, this research work is done to integrate both terotechnology and systemsengineering methodologies to enhance systems dependability theory and practices.In particular, it focuses on three main aspects within systems dependability engineering:challenges, practitioners’ concepts and system-level methodologies.The research methodology of this thesis has utilised the mixed research approachof qualitative and quantitative methods to extract the empirical findings that arerequired to validate the dependability theory developments. Qualitative survey isused to identify the challenges of dependability theory within wind power applications.Grounded theory is used to define the practical understanding of windpower stakeholders concerning to dependability and asset management concepts.Case study is implemented to validate the systems dependability engineering, ascross edge theory of dependability and systems engineering. Moreover, the phenomenographymethod is used to capture the individual experiences and understandingof purposefully selected stakeholders, due to different site-specific circumstancesfor each wind farm.In general, the thesis contributes to the body of knowledge of five fields: dependability,terotechnology, asset management, systems engineering and wind energy.In particular, the focus of thesis contributes with retrospective review to be as referenceline for system dependability theory. Simultaneously, on basis of empiricalfindings, it contributes to be a pivot point for further enhancements from both theacademic contributions and industrial developments.

L’objectif de cette thèse est de construire un framework qui représente les incertitudes aléatoires et épistémiques basé sur les approches probabilistes et des théories d’incertain, de comparer les méthodes et de trouver les propres applications sur les grands systèmes avec événement rares. Dans la thèse, une méthode de normalité asymptotique a été proposée avec simulation de Monte Carlo dans les cas binaires ainsi qu'un modèle semi-Markovien dans les cas de systèmes multi-états dynamiques. On a aussi appliqué la théorie d’ensemble aléatoire comme un modèle de base afin d’évaluer la fiabilité et les autres indicateurs de performance dans les systèmes binaires et multi-états avec technique bootstrap. / Our research objective is to build frameworks representing both aleatory and epistemic uncertainties based on probabilistic approach and uncertainty approaches and to compare these methods and find the proper applicatin for these methods in large scale systems with rare event. In this thesis, an asymptotic normality method is proposed with Monte Carlo simulation in case of binary systems as well as semi-Markov model for cases of dynamic multistate system. We also apply random set as a basic model to evaluate system reliability and other performance indices on binary and multistate systems with bootstrap technique.

At avionics control and critical systems is necessary guarantee a minimal level of fault tolerance and their high reliability. On the electronic components in these devices has an undesirable influence environment conditions and mainly cosmic ray. In this paper are described the most common failure types of semiconductor components and devices together with modern methods which can be increased the system fault tolerance and its overall reliability. There are introduced aspects of the avionic systems design due to finally certification and ways to evaluate its safety. This thesis describes design and implementation of the CAN bus control system for the FPGA platform which uses the CANAerospace application protocol. Created system design is improved by the TMR architecture. Fault tolerance of both system version is tested by the SEU framework which allows using the dynamic partial reconfiguration generate an SEU failures into running FPGA design.