On the statistical nature of real sinusoids associated with rotating machinery

Author

Sherman, Peter

Author_Institution

Iowa State Univ., Ames, IA, USA

Volume

6

fYear

2000

fDate

2000

Firstpage

3899

Abstract

This paper represents the first phase of an ongoing investigation into the nature of sinusoidal types of random processes associated with real world phenomena. Some noteworthy results include the normality of amplitude and frequency, characterization of the same as stationary random processes, and potential to improve condition monitoring of rotating machinery

Keywords

aircraft testing; condition monitoring; electric machines; filtering theory; helicopters; machine testing; military aircraft; random processes; signal processing; statistical analysis; vibration measurement; amplitude; band pass filtered time series; condition monitoring; fault vibration data; frequency; military helicopter power system; no-fault vibration data; random processes; real sinusoids; rotating machinery; signal processing; stationary random processes; statistical nature; statistical tools; Amplitude estimation; Convergence; Data analysis; Frequency estimation; Helicopters; Histograms; Information analysis; Machinery; Random processes; Vibration measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.860255

Filename

860255