๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Standard algorithms for machine-component geometrical parameter monitoring

โœ Scribed by A. V. Skvortsov

Publisher
Springer US
Year
1987
Tongue
English
Weight
262 KB
Volume
30
Category
Article
ISSN
0543-1972

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Algorithms for statistical moment evalua
Algorithms for statistical moment evaluation for machine health monitoring
โœ H.R. Martin; F. Ismail; A. Sakuta ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 471 KB

The analysis of vibration signals has proven to be a powerful and effective tool for the early detection of developing failure mechanisms in machines. As an alternative approach to the traditional spectrum methods, analysis can be carded out on time domain signals directly using statistical methods.

Integrating independent component analys
Integrating independent component analysis and support vector machine for multivariate process monitoring
โœ Chun-Chin Hsu; Mu-Chen Chen; Long-Sheng Chen ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 831 KB

This study aims to develop an intelligent algorithm by integrating the independent component analysis (ICA) and support vector machine (SVM) for monitoring multivariate processes. For developing a successful SVM-based fault detector, the first step is feature extraction. In real industrial processes