Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Xifan Yao"'
Publikováno v:
Symmetry, Vol 16, Iss 6, p 772 (2024)
The economic friction and political conflicts between some countries and regions have made multinational corporations increasingly focus on the reliability and credibility of manufacturing supply chains. In view of the impact of poor manufacturing en
Externí odkaz:
https://doaj.org/article/0e2c790b914046f490a21e1fb4f6236a
Autor:
Tingbo Xie, Xifan Yao
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9895 (2023)
The future development of Industry 4.0 places paramount importance on human-centered/-centric factors in the production, design, and management of logistic systems, which has led to the emergence of Industry 5.0. However, effectively integrating huma
Externí odkaz:
https://doaj.org/article/b170c6fd0d604933ba0a745c01bc0031
Publikováno v:
Jixie chuandong, Vol 43, Pp 171-176 (2019)
In this paper novel measuring methods for profile deviation are proposed based on machine vision. After the tangent point of the basic circle and the normal line of the tooth profile through a sampled point are obtained, angles of vectors determini
Externí odkaz:
https://doaj.org/article/10efc62cb6e84700b37e21d296066c0b
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 30165-30186 (2015)
Radio Frequency Identification (RFID) technology has been widely used in many fields. However, previous studies have mainly focused on product life cycle tracking, and there are few studies on real-time status monitoring of workpieces in manufacturin
Externí odkaz:
https://doaj.org/article/2218933d04b74ae6a26e39f62ba6c85f
Publikováno v:
Sensors, Vol 20, Iss 17, p 4657 (2020)
Inefficient remaining useful life (RUL) estimation may cause unpredictable failures and unscheduled maintenance of machining tools. Multi-sensor data fusion will improve the RUL prediction reliability by fusing more sensor information related to the
Externí odkaz:
https://doaj.org/article/a1707587311a410790f4f34da58faeeb
Autor:
Yongxiang Li, Xifan Yao
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Cloud manufacturing is an emerging service-oriented model to solve existing problems in manufacturing. This study proposes a process calculus–based approach to formally model cloud manufacturing service composition that is composed of description m
Externí odkaz:
https://doaj.org/article/75d345b9a66e4bf1ab78847e821e0232
Publikováno v:
Sensors, Vol 16, Iss 6, p 795 (2016)
Tool breakage causes losses of surface polishing and dimensional accuracy for machined part, or possible damage to a workpiece or machine. Tool Condition Monitoring (TCM) is considerably vital in the manufacturing industry. In this paper, an indirect
Externí odkaz:
https://doaj.org/article/f937b7429e614e94b2f5b13674df1c07
Publikováno v:
Journal of Manufacturing Systems. 65:44-58
In this study, a detection method based on the Cascaded Hough Transform (or CHT for short) and an improved YOLOV5 model is proposed for the detection of vehicle pressing lines in straight lanes. This method combines traditional image processing with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e56ce82948106923c2286cc35c278e
https://doi.org/10.22541/au.167696190.04606505/v1
https://doi.org/10.22541/au.167696190.04606505/v1
Publikováno v:
SCIENTIA SINICA Technologica. 52:55-75