The proposed research is aimed to study the most suitable method for a clearer interpretation and estimation of transient phenomena detectable in vibration signals of rotating machinery, when characterized by anomalies. The signals, which are going to be considered here, pertain industrial applications (i.e., machinery and turbo-machinery monitored status and usury). The paper explores the application of time-frequency based analysis techniques for the detection and feature extraction from the change of vibration signals caused by common machinery faults. The purpose here is to provide a more suitable criterion to detect anomalies, through the analysis of vibrational signals, on the basis of the kind of information from the signal itself.

Study of More Efficient Vibration Signal Processing Techniques for Anomalies Detection / Dinardo, Giuseppe; Fabbiano, Laura; Vacca, Gaetano. - ELETTRONICO. - (2015), pp. 286-291. (Intervento presentato al convegno 9th International Conference on Sensing Technology, ICST 2015 tenutosi a Auckland, New Zeland nel December 8-11, 2015).

Study of More Efficient Vibration Signal Processing Techniques for Anomalies Detection

Giuseppe Dinardo;Laura Fabbiano;Gaetano Vacca
2015-01-01

Abstract

The proposed research is aimed to study the most suitable method for a clearer interpretation and estimation of transient phenomena detectable in vibration signals of rotating machinery, when characterized by anomalies. The signals, which are going to be considered here, pertain industrial applications (i.e., machinery and turbo-machinery monitored status and usury). The paper explores the application of time-frequency based analysis techniques for the detection and feature extraction from the change of vibration signals caused by common machinery faults. The purpose here is to provide a more suitable criterion to detect anomalies, through the analysis of vibrational signals, on the basis of the kind of information from the signal itself.
2015
9th International Conference on Sensing Technology, ICST 2015
978-1-4799-6313-3
Study of More Efficient Vibration Signal Processing Techniques for Anomalies Detection / Dinardo, Giuseppe; Fabbiano, Laura; Vacca, Gaetano. - ELETTRONICO. - (2015), pp. 286-291. (Intervento presentato al convegno 9th International Conference on Sensing Technology, ICST 2015 tenutosi a Auckland, New Zeland nel December 8-11, 2015).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/18424
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