Title :
Neural networks applied to continuous range amplitude measurements of small sinusoidal vibrations
Author :
Cimponeriu, Andrei
Author_Institution :
Dept. of Measurements & Opt. Electron., Timisoara Univ., Romania
fDate :
10/1/2001 12:00:00 AM
Abstract :
Neural networks can be used to compute the amplitude of small sinusoidal vibrations measured with the Michelson interferometer. By simulations, the feasibility of the method is proven and the noise behavior is examined. The results are of practical interest: they show that the method is applicable to practical, noisy signals, and the precision can be very good
Keywords :
light interferometry; measurement theory; neural nets; noise; vibration measurement; Michelson interferometer; adaptive inverse modeling; continuous range amplitude measurements; neural networks; noise behavior; noisy signals; small sinusoidal vibrations; Adaptive control; Computational modeling; Computer networks; Equations; Inverse problems; Lighting; Mirrors; Neural networks; Photodetectors; Vibration measurement;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
