Formal Specification of Safe Manufacturing Machines Using the B Method: Application to a Mechanical Press

Evrot, Dominique; Pétin, Jean-François; Méry, Dominique

doi:10.3182/20060517-3-fr-2903.00155

Cited by 1 publication

(1 citation statement)

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“…More specifically, the decomposition of complex engineered systems into multi-domain sub-systems involving electrical, mechanical, and software components makes the refinement and traceability of the global safety properties very difficult. Therefore, a systematic approach is required to acquire abstract requirements along with safety properties, and map them to system components (Evrot, Petin, & Mery, 2006). Following the work of many researchers, it is concluded that the early stages of system design are the most critical in ensuring that the designed system satisfies its safety requirements (Tumer, Stone, & Bell, 2003;Stone, Tumer, & Stock, 2005;Kurtoglu & Tumer, 2008;Tumer & Smidts, 2011), this paper aims at addressing this challenge using the system-oriented SysMLbased modeling approach combined with formal verification technique.…”

Section: Model Checking and Formal Verificationmentioning

confidence: 99%

Formal Verification of Complex Systems based on SysML Functional Requirements

et al. 2014

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As modern systems continue to increase in size and complexity, they pose increasingly significant safety and risk management challenges. A model-based safety approach is an efficient way of coping with the increasing system complexity. It helps better manage the complexity by utilizing reasoning tools that require abstract models to detect failures as early as possible during the design process. This paper develops a methodology for the verification of safety requirements for design of complex engineered systems. The proposed approach combines a SysML modeling approach to document and structure safety requirements, and an assume-guarantee technique for the formal verification purpose. The assume- guarantee approach, which is based on a compositional and hierarchical reasoning combined with a learning algorithm, is able to simplify complex design verification problems. The objective of the proposed methodology is to integrate safety into early design stages and help the system designers to consider safety implications during conceptual design synthesis, reducing design iterations and cost. The proposed approach is validated on the quad-redundant Electro-Mechanical Actuator (EMA) of a Flight Control Surface (FCS) of an aircraft.

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