Fault diagnosis of rotating machinery through visualisation of sound signals

Citation
K. Shibata et al., Fault diagnosis of rotating machinery through visualisation of sound signals, MECH SYST S, 14(2), 2000, pp. 229-241
Citations number
4
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Mechanical Engineering
Journal title
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
ISSN journal
0888-3270 → ACNP
Volume
14
Issue
2
Year of publication
2000
Pages
229 - 241
Database
ISI
SICI code
0888-3270(200003)14:2<229:FDORMT>2.0.ZU;2-5
Abstract
As a method for diagnosing faults in rotating machinery, attention is being focused on changes in the sound signals generated by bearings. This provid es the advantage of making it easier to set up sensors, since sound signals can be measured at a location some distance from the housing of the bearin g. However, the signal-to-noise ratio is low compared with the vibration ac celeration, which makes it difficult to identify any characteristic differe nce between the sound signals generated by normal and faulty bearings. This report describes a symmetrised dot pattern (SDP) method, which visualises sound signals in a diagrammatic representation. Using SDP to visualize soun d signals measured for fans, it was possible to distinguish differences bet ween normal and faulty bearings. Moreover, through the analysis of sound si gnals in the time-frequency domain and wavelet analysis, the signal compone nt indicative of a fault was identified. When sound signals were modified b y removing the above component, SDP with the modified faulty signal resembl ed the nun-faulty case. (C) 2000 Academic Press.