A state-behavior-function model for functional modeling of multi-state systems

被引:10
|
作者
Zhao, Meng [1 ]
Chen, Yong [2 ]
Chen, Linfeng [3 ]
Xie, Youbai [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[3] Sichuan Univ, Coll Chem, Chengdu, Sichuan, Peoples R China
关键词
Conceptual design; computer-assisted design; mechanical design; modeling; system modeling; complex systems; DESIGN; FAILURE;
D O I
10.1177/0954406218791640
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Since functional modeling can be very useful in conceptual design, it has received considerable attention from engineering design community. However, existing functional models still cannot effectively assist designers in analyzing the functionalities of multi-state systems during conceptual design. As a result, designers often have to manually carry out functionality analysis according to their experiences, which are not only tedious, but also error-prone. Therefore, this paper proposes a state-behavior-function model for functional modeling of multi-state systems, which can provide designers with automated functional analysis support. The approach involves not only a state-behavior-function model for representing components, but also a model for representing the functionalities of multi-state systems. A prototype software is then developed for demonstrating the proposed model, with the functional modeling of a peeler centrifuge as an example to illustrate the proposed functional modeling approach.
引用
收藏
页码:2302 / 2317
页数:16
相关论文
共 50 条
  • [1] A STATE-BEHAVIOR-FUNCTION BASED APPROACH FOR FUNCTIONAL MODELING OF MULTI-STATE SYSTEMS AND ITS APPLICATION
    Chen, Yong
    Zhao, Meng
    Huang, Jian
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 7, 2016,
  • [2] Modeling adaptation in multi-state resource systems
    Baggio, Michele
    Perrings, Charles
    [J]. ECOLOGICAL ECONOMICS, 2015, 116 : 378 - 386
  • [3] Multi-State Joint Survival Signature for Multi-State Systems with Shared Multi-State Components
    Yi, He
    Balakrishnan, Narayanaswamy
    Li, Xiang
    [J]. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2023, 25 (01)
  • [4] Multi-State Joint Survival Signature for Multi-State Systems with Shared Multi-State Components
    He Yi
    Narayanaswamy Balakrishnan
    Xiang Li
    [J]. Methodology and Computing in Applied Probability, 2023, 25
  • [5] Modeling asthma evolution by a multi-state model
    Boudemaghe, T
    Daurès, JP
    [J]. REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE, 2000, 48 (03): : 249 - 255
  • [6] Multi-state systems
    Levitin, Gregory
    Xing, Liudong
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 166 : 1 - 2
  • [7] Composite importance measures for multi-state systems with multi-state components
    Ramirez-Marquez, JE
    Coit, DW
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2005, 54 (03) : 517 - 529
  • [8] Optimization of Multi-State Elements Replacement Policy for Multi-State Systems
    Liu, Yu
    Huang, Hong-Zhong
    [J]. ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2010 PROCEEDINGS, 2010,
  • [9] Analysis of Multi-State Systems with Multi-State Components Using EVMDDs
    Nagayama, Shinobu
    Sasao, Tsutomu
    Butler, Jon T.
    [J]. 2012 42ND IEEE INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL), 2012, : 122 - 127
  • [10] Multi-state Modeling of Biomolecules
    Stefan, Melanie I.
    Bartol, Thomas M.
    Sejnowski, Terrence J.
    Kennedy, Mary B.
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2014, 10 (09)