OPTIMAL SAMPLING AND PROCESSING OF NOISY SIGNALS

I.D. Kalchev, E.A. Yankov
Abstract:
This paper deals with Digital Signal Processing techniques of noisy current signals from electric motors in order to form reasonably reliable energy estimates applied to the plant control of rubber mixing room processes. The algorithms proposed are characterized with a good result rate. They are implemented in practice and can be successfully used for technological experiments of new products.
Keywords:
noisy signals, measurement of electrical quantities, optimal sampling
Download:
IMEKO-WC-2000-TC4-P133.pdf
DOI:
-
Event details
Event name:
XVI IMEKO World Congress
Title:

Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

Place:
Vienna, AUSTRIA
Time:
25 September 2000 - 28 September 2000