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A Linear Least Square with Duffing Chaotic Detection Designed in Micro-Distance Movement Measurement System
Author(s) -
Xiao Lin,
Yaping Dai,
Linhui Zhao
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p0287
Subject(s) - computer science , amplifier , lock (firearm) , chaotic , realization (probability) , displacement (psychology) , strain gauge , lock in amplifier , control theory (sociology) , simulation , acoustics , artificial intelligence , mathematics , structural engineering , physics , telecommunications , statistics , bandwidth (computing) , psychology , control (management) , engineering , psychotherapist
High precision micro displacement measurement framework is fundamental for drilling strain gauges. We replaced the traditional lock-in amplifier method by the linear least square (LLS) based on Duffing chaotic detection (DCD) in drilling strain gauges. Simulation results showed that LLS based on DCD has a relative error 7.7% when SNR = −20.79 dB. It is 410.1% lower than lock-in amplifier method in the detection. Even more, the design and realization of LLS based on DCD is easier than lock-in amplifier method.

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