Specification requirements and maintainability of the life cycle of Cyberphysical systems
Supervisor Name : Zineb Simeu-Abazi et Daoud Aït Kadi Doctoral School : EEATS Start Date : october 2015 Financing - Context - Partnerships : Positioning and Challenges :
In the area of communicating objects, it is necessary to ensure the reliability and dependability of these systems that becomes increasingly complex. Indeed, for any system, intrusion and failures are inevitable and can lead to catastrophic consequences both from the economic point of view than environmental. It is therefore important to propose new concepts adapted to the Cyber-Physical Systems (CPS) to ensure their safety and security. The complexity of CPS requires increasingly elaborate diagnostic techniques and maintenance. This need is crucial for this type of systems in heterogeneous technologies integrating mechanical subsystems, electronic and embedded software. The technological heterogeneity of these subsystems, whose lifetimes and dynamics of evolution are diverse, accentuates the problem of control of obsolescence to ensure the sustainability of their mission. This subject has several complementary components: 1) the inclusion of requirements in the design phase to provide a representative model of the physical behavior of the system in terms of strength and degradationn facing various stresses, 2) characterization parameters or 'representative attributes of reliability of different levels of decomposition system to define the dynamic behavior of a system and feed the diagnostic phase, 3) the definition of requirements and testability criteria, and measurement reliable testing efficiency.
These developments not only require strong skills in the field of design and characterization system but also a respective expertise in the areas of model verification and testability. It is therefore to propose an ontological description (taxonomies and associated properties) factors that lead to the obsolescence of functional and non-functional requirements of the systems. Indeed, obtaining a better understanding of the system is fundamental to maintain in good functioning the complex system, health monitoring and control of obsolescence of its components. From data collection sensors and different information available (testability, domain expertise ...), it is eliciting knowledge of the system into two ways: 1) extracting knowledge from data, 2 ) a knowledge management approach.
Particular attention will be given as to the establishment of new complex systems with distributed monitoring techniques in particular, on the extraction of knowledge on maintenance activities resulting from the capitalization and information processing contained in the reports of previous interventions. It is therefore structured knowledge based on experience.