Search

Your search keyword '"Identification scheme"' showing total 2 results
Start Over Descriptor "Identification scheme" Journal applied sciences
2 results on '"Identification scheme"'

1. Identification of the Relationship between Maritime Autonomous Surface Ships and the Operator’s Mental Workload

Author

Masanori Yoshida, Etsuro Shimizu, Masashi Sugomori, and Ayako Umeda

Subjects
maritime autonomous surface ships (MASS), mental workload, identification scheme, navigation, regulation, stress, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Shipping is an indispensable tool for the sustainable global supply chain, and seafarers play a key role in safe navigation. Maritime autonomous surface ships (MASS) have been expected to reduce marine accidents by human error of the seafarers. On the other hand, MASS may have adverse effects on operators’ mental workload (MWL) and increase safety risks in some cases. This research aims to provide a scheme for identifying the relationship between MWL and MASS in the maritime that can be utilised for rulemaking and technological development. The provided scheme identifies the factors that affect the MWL of operators and sub-elements of MWL through gap analysis. Five factors related to MASS operation were defined, in addition to general factors. The case study was carried out by utilising the scheme on typical cases focusing on the normal navigational situation. The NASA task load index method was used to measure MWL. Ten deck officers with various ranks, including the third officer and captain, participated in the case study. The results suggested that various causes such as conflicted situations, machine–human interfaces, mechanical-style movements of the ship, reliability of MASS, and visibility constraints affect the MWL of operators. It also confirmed the verification of the identification scheme.

Published
2021
Full Text
View/download PDF

2. Robust Structural Damage Detection Using Analysis of the CMSE Residual’s Sensitivity to Damage

Author

Yingchao Li, Jian Guo, Mingqiang Xu, and Shuqing Wang

Subjects
Identification scheme, Computer science, 020101 civil engineering, 02 engineering and technology, Residual, System of linear equations, 01 natural sciences, Regularization (mathematics), lcsh:Technology, 0201 civil engineering, damage detection, Tikhonov regularization, noise robustness, lcsh:Chemistry, sensitivity analysis, Robustness (computer science), 0103 physical sciences, General Materials Science, Sensitivity (control systems), 010301 acoustics, Instrumentation, lcsh:QH301-705.5, Fluid Flow and Transfer Processes, Noise (signal processing), lcsh:T, Process Chemistry and Technology, General Engineering, cross-modal strain energy, lcsh:QC1-999, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, lcsh:Engineering (General). Civil engineering (General), Algorithm, lcsh:Physics
Abstract

This paper presents a robust damage identification scheme in which damage is predicted by solving the cross-modal strain energy (CMSE) linear system of equations. This study aims to address the excessive equations issue faced in the assemblage of the CMSE system. A sensitivity index that, to some extent, measures how the actual damage level vector satisfies each CMSE equation, is derived by performing an analysis of the defined residual&rsquo, s sensitivity to damage. The index can be used to eliminate redundant equations and enhance the robustness of the CMSE system. Moreover, to circumvent a potentially ill-conditioned problem, a previously published iterative Tikhonov regularization method is adopted to solve the CMSE system. Some improvements to this method for determining the iterative regularization parameter and regularization operator are given. The numerical robustness of the proposed damage identification scheme against measurement noise is proved by analyzing a 2-D truss structure. The effects of location and extent of damage on the damage identification results are investigated. Furthermore, the feasibility of the proposed scheme for damage identification is experimentally validated on a beam structure.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results