๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Condition Monitoring of Robot Joints Using Statistical and Nonlinear Dynamics Tools

โœ Scribed by I. Trendafilova; H. Van Brussel

Book ID
110425407
Publisher
Springer Netherlands
Year
2003
Tongue
English
Weight
142 KB
Volume
38
Category
Article
ISSN
0025-6455

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

NON-LINEAR DYNAMICS TOOLS FOR THE MOTION
NON-LINEAR DYNAMICS TOOLS FOR THE MOTION ANALYSIS AND CONDITION MONITORING OF ROBOT JOINTS
โœ I. TRENDAFILOVA; H. VAN BRUSSEL ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 659 KB

Time series from non-damaged and three types of damaged robot joints are considered and analysed from the viewpoint of non-linear dynamics. The embedding spaces for the four types of signals are recovered. The application of surrogate data tests is used to prove the presence of non-linearities in th

In situ monitoring and prediction of pro
In situ monitoring and prediction of progressive joint wear using Bayesian statistics
โœ Dawn An; Joo-Ho Choi; Tony L. Schmitz; Nam H. Kim ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 903 KB

In this paper, a statistical methodology of estimating wear coefficient and predicting wear volume in a revolute joint using in situ measurement data is presented. An instrumented slider-crank mechanism that can measure the joint force and the relative motion between the pin and bushing is built. Th