Behavior Modeling and Simulation of an Inertial Sensor

2017 ◽  
pp. 1-40
Author(s):  
Honglong Chang ◽  
Jianbing Xie ◽  
Ying Liu
Keyword(s):  
Modeling And Simulation ◽  
Inertial Sensor ◽  
Behavior Modeling

Research on Behavior Modeling and Simulation of Complex UAV Based on SysML State Machine Diagram

2021 ◽  
pp. 401-409
Author(s):  
Yuanjie Lu ◽  
Zhimin Liu ◽  
Zhixiao Sun ◽  
Miao Wang ◽  
Wenqing Yi ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
State Machine ◽  
Behavior Modeling ◽  
State Machine Diagram

Regulation of a Class of Continuous Bioreactor under Switching Kinetic Behavior: Modeling and Simulation Approach

2015 ◽  
Vol 54 (4) ◽  
pp. 1326-1332
Author(s):  
Fernando A. Cuevas Ortiz ◽  
Pablo A. López-Pérez ◽  
Ricardo Femat ◽  
Gerardo Lara-Cisneros ◽  
Ricardo Aguilar-López
Keyword(s):  
Modeling And Simulation ◽  
Behavior Modeling ◽  
Simulation Approach ◽  
Kinetic Behavior ◽  
Continuous Bioreactor

A taxonomy of performance shaping factors for shield tunnel construction

2018 ◽  
Vol 25 (4) ◽  
pp. 574-596 ◽  
Author(s):  
Jue Li ◽  
Minghui Yu ◽  
Hongwei Wang
Keyword(s):  
Modeling And Simulation ◽  
Human Behavior ◽  
Human Error ◽  
Human Performance ◽  
Behavior Modeling ◽  
Shield Tunnel ◽  
Tunnel Construction ◽  
Content Type ◽  
Human Behavior Modeling ◽  
Performance Shaping Factors

PurposeOn shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.Design/methodology/approachThe approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.FindingsThe PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.Practical implicationsThe PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.Originality/valueThis paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.

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