2009
DOI: 10.6100/ir640039
|View full text |Cite
|
Sign up to set email alerts
|

Multi-level contactless motion system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…Sang et al (2015) converted wave energy into electricity at a relatively high efficiency using a slider-crank wave energy converter [22]. Boeij (2009) Multi-Level Contactless Motion System In machine design, the acceleration and velocity of moving parts are often constrained by mechanical bearings for guidance and cables for transferring power and information. These factors not only limit the stroke and functionality of the machine, but additionally disturb the motion of the mover, thereby reducing reliability, speed, and accuracy.…”
Section: -Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Sang et al (2015) converted wave energy into electricity at a relatively high efficiency using a slider-crank wave energy converter [22]. Boeij (2009) Multi-Level Contactless Motion System In machine design, the acceleration and velocity of moving parts are often constrained by mechanical bearings for guidance and cables for transferring power and information. These factors not only limit the stroke and functionality of the machine, but additionally disturb the motion of the mover, thereby reducing reliability, speed, and accuracy.…”
Section: -Literature Reviewmentioning
confidence: 99%
“…This thesis focuses on the removal of these constraints and their effect on the system-level design of the machine. Three different contactless techniques can be incorporated into the motion system design to overcome the limitations of bearings and cables [23]. Hirano et al ( 2017) used a musculoskeletal model and a Kinect TM based on a contactless motion analysis approach to measure muscle activation [24].…”
Section: -Literature Reviewmentioning
confidence: 99%