Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43988
Title: Review of automatic fault diagnosis systems using audio and vibration signals
Authors: Henriquez, P. 
Alonso Hernández, Jesús Bernardino 
Ferrer Ballester, Miguel Ángel 
Travieso González, Carlos Manuel 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Speed-Down Process
Rotating Machinery
Correlation Dimension
Feature-Extraction
Spectral Kurtosis
Expert-System
Wavelet
Gear
Transform
Classification
Issue Date: 2014
Publisher: 1083-4427
Journal: IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans. 
Abstract: The objective of this paper is to provide a review of recent advances in automatic vibration- and audio-based fault diagnosis in machinery using condition monitoring strategies. It presents the most valuable techniques and results in this field and highlights the most profitable directions of research to present. Automatic fault diagnosis systems provide greater security in surveillance of strategic infrastructures, such as electrical substations and industrial scenarios, reduce downtime of machines, decrease maintenance costs, and avoid accidents which may have devastating consequences. Automatic fault diagnosis systems include signal acquisition, signal processing, decision support, and fault diagnosis. The paper includes a comprehensive bibliography of more than 100 selected references which can be used by researchers working in this field.
URI: http://hdl.handle.net/10553/43988
ISSN: 1083-4427
DOI: 10.1109/TSMCC.2013.2257752
Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems[ISSN 1083-4427],v. 44 (6670088), p. 642-652
Appears in Collections:Reseña
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