کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
738345 | 894002 | 2007 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Principal component analysis and artificial neural network based approach to analysing optical fibre sensors signals
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
This paper investigates the use of artificial neural networks (ANNs) coupled with principal components analysis (PCA) to interpret complex optical spectrum and time resolved signals from optical fibre sensors. Specific reference is made to two application areas addressed by optical fibre sensors which are examples of systems deployed to measure food colour (reflection spectra) as it cooks in a full scale industrial oven and time resolved and Fourier transformed signals received from an optical time domain reflectometer (OTDR) for water monitoring. The method of analysis is different in each case but the same principles apply to each measurement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators A: Physical - Volume 136, Issue 1, 1 May 2007, Pages 28–38
Journal: Sensors and Actuators A: Physical - Volume 136, Issue 1, 1 May 2007, Pages 28–38
نویسندگان
E. Lewis, C. Sheridan, M. O’Farrell, D. King, C. Flanagan, W.B. Lyons, C. Fitzpatrick,