Title :
On the statistical nature of real sinusoids associated with rotating machinery
Author_Institution :
Iowa State Univ., Ames, IA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.860255