China
Africa
Explore chapters and articles related to this topic
Development of Wearable Body Area Networks for 5G and Medical Communication Systems
Published in Albert Sabban, Wearable Systems and Antennas Technologies for 5G, IOT and Medical Systems, 2020
Functional analysis is a process of translating system requirements (customer needs) into detailed functional and performance design specifications. The result of the process is a defined architectural model that identifies system functions and their interactions. A functional analysis process is presented in Figure 11.10. It defines how the functions will operate together to perform the system functions. More than one architecture can satisfy the customer’s needs. However, each architecture has its set of associated requirements, different cost values, schedule, performance and risk implications. System engineering modular architecture for a wearable BAN system is presented in Figure 11.11. The functional architecture is used to define functional and evaluation development tests. The initial step in the process of functional analysis is to identify the basic functions required to perform the various system missions. As this is accomplished, the system specifications are defined, and functional architectures are developed for each module and for the system. These activities are continually validated and optimized to get the best system architecture. The functional system architecture and the functional system requirements are the input to the synthesis and development process.
Constructing the New Model for Problem Solving: Moving from the Problem to the Ideal Final Result
Published in Rantanen Kalevi, Conley David W., Domb Ellen R., Simplified TRIZ, 2017
Rantanen Kalevi, Conley David W., Domb Ellen R.
Functional analysis is a method used to understand the relationships between the system’s physical objects (components) by way of their functions. In the ax example, the armmoves the hand; the handholds andmoves the ax handle; the ax handleholds andmoves the ax blade; and the ax bladecuts the wood. Functional analysis helps us to understand where there are unwanted (harmful), and inappropriate levels (insufficient and excessive) of, functions. Understanding where our system has unwanted and inappropriate levels of functions leads directly to understanding where contradictions exist within the system. Further, functional analysis supports the comprehension and inventorying of resources in and around the system’s environment. More detail on functional analysis is provided in Chapter 7—Understanding How Systems Work: Utilizing Functional Analysis to Expand Knowledge About Your Problem.
Discovering How Distributed Cognitive Systems Work
Published in Erik Hollnagel, Handbook of Cognitive Task Design, 2003
Functional analysis is a mode of research that can cope with the unique difficulties of studying and designing cognitive work in context. Functional analysis is a process that coordinates multiple techniques in order to unpack complex wholes to find the structure and function of the parts within the whole. Central to the empirical techniques orchestrated is observation. Three families of techniques emerge that vary in how they shape the conditions of observation: natural history or in situ observation, staged world or observation of performance in simulated situations as models of what is important in situ, and spartan lab settings where observation occurs in experimenter-created artificial tasks. The chapter discusses how to coordinate these techniques in a discovery process that reveals the mutual adaptation of strategies, affor- dances, and demands and predicts how these dynamic processes will play out in response to change.
A Method for Backward Failure Propagation in Conceptual System Design
Published in Nuclear Science and Engineering, 2023
Ali Mansoor, Xiaoxu Diao, Carol Smidts
At the earlier stages of design, using a functional analysis approach allows a higher level of abstraction and allows the analyst to have a goal-oriented view of the system regarding safety and productivity. Quite a few approaches have been suggested that utilize the function-based approach. Tumer and Stone34 and Stone et al.35 suggested the Function-Failure Design Method, a design-aid tool that uses historical failure information to identify the potential failure modes of a proposed design. It is achieved by mapping the failure modes from the historical database derived from similar functions onto the system’s function under consideration. Wang and Jin36 introduced a Bayesian network–based functional analysis tool that implements functional failure propagation using a functional event network to identify functional dependencies. It also provides functional failure probabilities and insight into the importance of function(s) in terms of their position in the Bayesian network. However, these methods rely on feedback from similar designs to assess commonalities and help designers choose a relatively better design. Kurtoglu et al.37 proposed an inductive method, Functional Failure Reasoning, that utilizes Functional Failure Identification and Propagation (FFIP) to assess the impact of faults on the system.
Evaluating the environmental performance of pipeline construction using systems modelling
Published in Construction Management and Economics, 2020
Mohamed Matar, Hesham Osman, Maged Georgy, Azza Abou-Zeid, Moheeb Elsaid
In this particular research, a pipeline product and its installation process are modelled as two systems where the former is typically the final product of the latter. Both are shown to derive resources from, and release materials to the environment as a third system. To model each of these as a system and capture their different interactions, functional analysis (Viola et al. 2012, Faisandier 2013) is used as a “systematic process to identify system functions and interfaces required to achieve the system objectives.” Different functions of each system are identified and broken down to sufficient level of details. These functions are correlated and cross-checked against the system structure observed in case of the environmental system, and set-up in case of the pipeline product and its installation process. The developed model of the three systems is described using the Systems Modelling Language (SysML); a powerful, state-of-the-art graphical language that was specifically developed to capture and represent the structure, behaviour, requirements and properties of systems and their components (Friedenthal et al. 2012).
Design for invention: a framework for identifying emerging design–prior art conflict
Published in Journal of Engineering Design, 2018
Pingfei Jiang, Mark Atherton, Salvatore Sorce, David Harrison, Alessio Malizia
Designers are able to determine specific Research and Development directions by conducting a functional analysis of patents in the technical field of concern (Kang et al. 2015). Comparison of working principles between an emerging design and prior art can also be achieved through in-depth functional analysis (Jiang et al. 2017). Functional analysis and modelling is an engineering design tool to provide a systematic approach to technical problem solving (Pahl and Beitz 2006). It enables designers to study and develop products through analysing functional relationships between components, and also decompose, describe and relate functions a system is to perform in order to achieve end product success (Morris and Breidenthal 2011). Functional analysis and modelling exists in various formats and one way of classifying them is into form-independent and form-dependent models (Aurisicchio, Bracewell, and Armstrong 2013). Product Architecture Design Methodology (Stone, Wood, and Crawford 2000) is a typical form-independent model that starts with a black box defining the system overall function and input/output flows of energy, material and signal. An example of form-dependent functional models is the Functional Analysis Diagram (FAD) (Aurisicchio, Bracewell, and Armstrong 2012), which uses blocks to represent artefacts and coloured labelled arrows to represent useful and harmful functional interactions respectively.