Neural network demodulation for an optical sensor

Optical waveguides – Optical waveguide sensor

Reexamination Certificate

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Details

C385S015000, C385S031000, C385S037000

Reexamination Certificate

active

07603004

ABSTRACT:
Methods and systems of neural network demodulation for an optical sensor. An optical sensor may be coupled to a structure and be capable of reflecting a reflected optical signal. A wavelength of the reflected optical signal may be spread based on a strain being applied to the structure. A replication device may receive the reflected optical signal from the optical sensor and produce a plurality of optical signals. A filter may be coupled to the replication device to receive an optical signal from the plurality of optical signals and filter the received optical signal. A detector may receive the filtered optical signal and provide a voltage output proportional to an amount of the filtered optical signal received. A neural network may receive the voltage output and determine the strain on the structure.

REFERENCES:
patent: 5180911 (1993-01-01), Grossman et al.
patent: 5564832 (1996-10-01), Ball et al.
patent: 6888125 (2005-05-01), Ronnekleiv et al.
patent: 7127132 (2006-10-01), Moslehi et al.
patent: 2005/0046584 (2005-03-01), Breed

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