Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
711864 | IFAC Proceedings Volumes | 2007 | 6 Pages |
Abstract
AbstractThis paper presents a method to apply parametric modeling and speech processing techniques for the condition monitoring of complex rotating machines. Complex rotating machines are characterized by a big number of interdependent rotating parts, like motorized vehicles. The techniques presented in this paper have been developed to monitor the health status of complex rotating machines with a huge number of rotating parts where the isolation of specific vibration sources is difficult. This work was based on the condition monitoring of agricultural vehicles.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Nicolás Carrillo,