Neural networks applied to continuous range amplitude measurements of small sinusoidal vibrations

IEEE Transactions on Instrumentation and Measurement

Volumn 50, Issue 5, 2001, Pages 1171-1175

  Cimponeriu, Andrei ^a,b,c  

^a IEEE   (United States)

^b POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Adaptive inverse modeling; Michelson interferometer; Neural networks; Small sinusoidal vibrations

Indexed keywords

INTERFEROMETERS; MATHEMATICAL MODELS; NEURAL NETWORKS; SPURIOUS SIGNAL NOISE;

ADAPTIVE SINUSOIDAL MODELING; MICHELSON INTERFEROMETER; SMALL SINUSOIDAL VIBRATIONS;

VIBRATION MEASUREMENT;

EID: 0035483574     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/19.963179     Document Type: Article

References (9)

1. Mathematical complements for engineers in electronics and telecommunications
2. Neural networks in measuring technique, laboratory guide
3. Multilayer feedforward networks are universal approximators
4. Balancing of flexible rotors
5. Small sinusoidal vibrations amplitude measurements with the Michelson interferometer