Quantitative evaluation method for the veriﬁcation of complex mechatronic systems: Development of a reliability-based design process using stochastic Petri Nets
Research output: Book/Report › Doctoral thesis › Monograph
|Number of pages||182|
|Publication status||Published - 9 Dec 2016|
|Publication type||G4 Doctoral dissertation (monograph)|
This dissertation presents research work related to the veriﬁcation-driven design process of complex mechatronic systems using a stochastic reliability method for evaluating the concept design from the early phases of the product development. The main objective of this thesis consists in demonstrating the advantages of an innovative system design process based on a quantitative evaluation method using reliability as the main criteria. This thesis reviews the state of the art of the veriﬁcation and validation process, describes different trends in the system design processes towards simulation-based design processes and reviews the best practices of decision-making processes in the engineering ﬁeld. The work conducted during this thesis consists of the development and modelling of the veriﬁcation-driven design approach. The method uses the stochastic Petri Net approach for modelling the operational and functional sequence of the system as well as its dysfunctional behaviour. Reliability parameters of each concept are estimated based on their level of design and thus various concepts can be evaluated against each other.
The method is applied to case studies that consist of the development of a Remote Handling system for the maintenance of a fusion reactor called DEMO. The results conﬁrm the beneﬁt of such a method for designing and evaluating the concept design from the very early phases of the system development. The purpose of this research is to maintain the usefulness of the ﬁndings for other developments at a larger scale and in other ﬁelds than fusion engineering.