Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yanhu Pei"'
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2245 (2024)
As a kind of space robot, the two-arm cascade combination system (TACCS) has been applied to perform auxiliary operations at different locations outside space cabins. The motion coupling relation of two arms and complex surrounding obstacles make the
Externí odkaz:
https://doaj.org/article/3b1753702ea1430392058e036664a2ce
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1414 (2024)
For complex equipment, it is easy to over-evaluate the impact of failure on production by estimating the reliability level only through failure probability. To remedy this problem, this paper proposes a statistical evaluation method based on fuzzy fa
Externí odkaz:
https://doaj.org/article/58cda06b17714f94b5d02fdac09e6d6c
Publikováno v:
Machines, Vol 12, Iss 1, p 24 (2023)
As increasingly extensive applications of flexible manufacturing systems (FMSs) arise, their reliability allocation has been a research hot spot. But, since FMSs are always composed of transfer and buffer devices, production machines, and complex con
Externí odkaz:
https://doaj.org/article/dbd8c1fc131d4590b3f2bd57bfb8b179
Publikováno v:
Machines, Vol 11, Iss 1, p 74 (2023)
A flexible manufacturing system (FMS) improves productivity and makes it more efficient. Maintaining reliability levels and reducing costs through proper maintenance strategies are key problems for the development and application of a FMS. This paper
Externí odkaz:
https://doaj.org/article/a66522aee02147ceadca0a6afe3c9e9f
Publikováno v:
IEEE Access, Vol 7, Pp 136752-136776 (2019)
In most existing bolt assembling operations, the human-machine collaboration (HMC) is used to guarantee both the operational efficiency and the connection quality. However, the huge labor intensity and costs are still needed when there exist bolts wi
Externí odkaz:
https://doaj.org/article/2e1d0ab0b70a41c1bb09d110ca339d4e
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c0a19fc451054880fcf7f827b457a6c
https://doi.org/10.1109/tim.2022.3164133
https://doi.org/10.1109/tim.2022.3164133
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Joint flexibility has a major impact on the motion accuracy of a robotic end effector, particularly at high speeds. This work proposes a technique of precisely modeling the torsional stiffness of the rotational joints for the industrial robots. This
Externí odkaz:
https://doaj.org/article/7d0d8dabc11b4cbda4c26a725b9cb6e2
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 124:3737-3747
FMS reliability cannot be accurately evaluated without considering coupling relations between system elements. This paper presented a hierarchical and quantitative evaluation index system for FMS based on Petri net models and judgment matrix construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91931e2778a82c6230c2c3b3652e88fe
https://doi.org/10.1007/s00170-021-07648-5
https://doi.org/10.1007/s00170-021-07648-5
Publikováno v:
Applied Mathematical Modelling. 87:691-710
The real-time and reliable collision detection is the vital basis for the robotic motion control in real applications. In this work, the minimal distance calculation between the industrial robot and its workspace is presented. This method first uses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbed983eea8cfca42c149120ea1de7f7
https://doi.org/10.1016/j.apm.2020.06.012
https://doi.org/10.1016/j.apm.2020.06.012
Publikováno v:
International Journal of Precision Engineering and Manufacturing. 20:717-735
In the bolt looseness detection task of the locomotive system, the robot could be used to highly improve the working efficiency and reliability, but faces the complex static obstacles while planning the path for the robotic motion. In this paper, a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f00c26af5213dfcfd567215fc09f28cc
https://doi.org/10.1007/s12541-019-00075-3
https://doi.org/10.1007/s12541-019-00075-3