Adaptive Signal Processing of Optical Fiber Sensors for Monitoring Temperature During Chemical Vapor Infiltration

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Development of the inchworm algorithm presented in this work was sponsored by the Transformational Challenge Reactor Program1 of the US Department of Energy Office of Nuclear Energy. The experimental data were obtained using funding provided by the Laboratory Directed Research and Development Program at Oak Ridge National Laboratory. Development of the inchworm algorithm presented in this work was sponsored by the Transformational Challenge Reactor Program1 of the US Department of Energy Office of Nuclear Energy. The experimental data were obtained using funding provided by the Laboratory Directed Research and Development Program at Oak Ridge National Laboratory. 1This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).