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Managing System Models
Published in John P.T. Mo, Ronald C. Beckett, Engineering and Operations of System of Systems, 2018
Functional modeling in systems engineering is a structured representation of functions, i.e., activities, actions, processes, and operations, within the modeled system. A function model is a graphical representation of a system's function within a defined scope. The purpose of the function model is to describe the functions and processes, assist with discovery of information needs, help identify opportunities, and establish a basis for determining product and service costs.
Fault Propagation and Effects Analysis for Designing an Online Monitoring System for the Secondary Loop of the Nuclear Power Plant Portion of a Hybrid Energy System
Published in Nuclear Technology, 2018
Xiaoxu Diao, Yunfei Zhao, Mike Pietrykowski, Zhuoer Wang, Shannon Bragg-Sitton, Carol Smidts
As shown in Fig. 2, ISFA analyzes the HW and SW subsystems based on a component view and a function view. A configuration flow graph (CFG) is constructed to depict the component structure of the physical system. A functional basis17 (e.g., a repository of functions) is used as a standard to define functions and flows of all physical components. By connecting predefined functions and flows based on mathematical models, a function model can be constructed to depict how to achieve the desired functionality of the system. Qualitative behavioral models are defined for each component and are depicted as behavioral rules (BRs), including discrete nominal and faulty behaviors that are derived using qualitative physics.13 A functional failure logic (FFL) is defined for each component to connect the component behavior and the operating state of system functions. In the component view, HW is integrated with SW via interfaces, which are components that communicate send/receive information between HW and SW subsystems. A transaction signal is defined to depict the communication details of the HW-SW interaction. Based on the ISFA method, the process of analysis is depicted in Fig. 3.
A variability taxonomy to support automation decision-making for manufacturing processes
Published in Production Planning & Control, 2020
Yee Mey Goh, Simon Micheler, Angel Sanchez-Salas, Keith Case, Daniel Bumblauskas, Radmehr Monfared
From the data collected and observations, the process was decomposed into key tasks and subtasks. By decomposing the process, it is possible to determine in which specific task the variability is introduced into the process and how the operator accommodates this variability. The process is represented using an IDEF0 diagram. The IDEF family models represent different views of a system. IDEF0 produces a structured functional model to gain understanding, support analysis, provide logic for potential changes, specify requirements, or support systems-level design and integration activities (U.S. Department of Commerce 1993).