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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226657
