DocumentCode
3243602
Title
Monitoring rotating machine signals
Author
Kittel, W. Armin ; Hayes, Monson H.
Author_Institution
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
5
fYear
1992
fDate
23-26 Mar 1992
Firstpage
65
Abstract
A generalized symbolic signal representation capturing the physical appearance of process monitoring signals is introduced. The signals are decomposed into simpler subcomponents described by different parametric models and combined under an object-oriented hybrid signal representation. A set of subcomponents is modeled by a piecewise spline function approximation. This model represents the signal patterns in purely mathematical terms and can be viewed as an extension of syntactic signal modeling approaches used in electrocardiogram (ECG) analysis. Furthermore, a robust event-synchronous system capable of transcribing given signals into the proposed symbolic representation is described. The use of event-synchronous analysis makes the system specifically suited for process monitoring applications. A concrete example of a pump monitoring application is described
Keywords
acoustic signal processing; computerised monitoring; mechanical engineering; pattern recognition; splines (mathematics); acoustic emission monitoring; automatic monitoring; chip manufacturing plant; generalized symbolic signal representation; mechanical engineering; object-oriented hybrid signal representation; piecewise spline function approximation; process monitoring; pump monitoring; robust event-synchronous system; rotating machine signals; signal patterns; syntactic pattern recognition; water pump bearings; Condition monitoring; Electrocardiography; Function approximation; Mathematical model; Object oriented modeling; Parametric statistics; Rotating machines; Signal processing; Signal representations; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226657
Filename
226657
Link To Document