Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44034
Title: Fault diagnosis using audio and vibration signals in a circulating pump
Authors: Henríquez, P. 
Alonso Hernández, Jesús Bernardino 
Ferrer Ballester, Miguel Ángel 
Travieso González, Carlos Manuel 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Transform
Issue Date: 2012
Publisher: 1742-6588
Journal: Journal of Physics: Conference Series 
Conference: 25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM) 
25th International Congress on Condition Monitoring and Diagnostic Engineering, COMADEM 2012 
Abstract: This paper presents the use of audio and vibration signals in fault diagnosis of a circulating pump. The novelty of this paper is the use of audio signals acquired by microphones. The objective of this paper is to determine if audio signals are capable to distinguish between normal and different abnormal conditions in a circulating pump. In order to compare results, vibration signals are also acquired and analysed. Wavelet package is used to obtain the energies in different frequency bands from the audio and vibration signals. Neural networks are used to evaluate the discrimination ability of the extracted features between normal and fault conditions. The results show that information from sound signals can distinguish between normal and different faulty conditions with a success rate of 83.33%, 98% and 91.33% for each microphone respectively. These success rates are similar and even higher that those obtained from accelerometers (68%, 90.67% and 71.33% for each accelerometer respectively). Success rates also show that the position of microphones and accelerometers affects on the final results.
URI: http://hdl.handle.net/10553/44034
ISSN: 1742-6588
DOI: 10.1088/1742-6596/364/1/012135
Source: Journal of Physics: Conference Series[ISSN 1742-6588],v. 364 (012135)
Appears in Collections:Actas de congresos
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