This paper presents a new μController-based embedded system devoted to vibration analysis for fault diagnosis in rotating machine. The developed system is based on advanced spectra methods, such as Wavelet and Fourier Transform, to emphasize the harmonic content of the considered signal thus facilitating early fault diagnosis. Suitable algorithms have been developed for such complex methods to run on a μC featuring limited computing resources. The cost and performance of our system are compatible with integration into industrial machines for continuous monitoring of their status. Moreover, the developed system is easily customizable and adaptable to a variety of automatic industrial machines

An Embedded System for Real-Time Vibration Analysis

A. Pieracci;LANZONI, MASSIMO;RICCO', BRUNO
2011

Abstract

This paper presents a new μController-based embedded system devoted to vibration analysis for fault diagnosis in rotating machine. The developed system is based on advanced spectra methods, such as Wavelet and Fourier Transform, to emphasize the harmonic content of the considered signal thus facilitating early fault diagnosis. Suitable algorithms have been developed for such complex methods to run on a μC featuring limited computing resources. The cost and performance of our system are compatible with integration into industrial machines for continuous monitoring of their status. Moreover, the developed system is easily customizable and adaptable to a variety of automatic industrial machines
Proceedings of the 4th International Workshop on Advances in Sensors and Interfaces (IWAI 2011)
6
11
G. Merendino; A. Pieracci; M. Lanzoni; B. Ricco'
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/133507
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