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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 7 — Mar. 1, 2012
  • pp: B155–B164

Automated interpretation of LIBS spectra using a fuzzy logic inference engine

Jeremy J. Hatch, Timothy R. McJunkin, Cynthia Hanson, and Jill R. Scott  »View Author Affiliations


Applied Optics, Vol. 51, Issue 7, pp. B155-B164 (2012)
http://dx.doi.org/10.1364/AO.51.00B155


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Abstract

Automated interpretation of laser-induced breakdown spectroscopy (LIBS) data is necessary due to the plethora of spectra that can be acquired in a relatively short time. However, traditional chemometric and artificial neural network methods that have been employed are not always transparent to a skilled user. A fuzzy logic approach to data interpretation has now been adapted to LIBS spectral interpretation. Fuzzy logic inference rules were developed using methodology that includes data mining methods and operator expertise to differentiate between various copper-containing and stainless steel alloys as well as unknowns. Results using the fuzzy logic inference engine indicate a high degree of confidence in spectral assignment.

OCIS Codes
(070.4790) Fourier optics and signal processing : Spectrum analysis
(100.5010) Image processing : Pattern recognition
(160.2120) Materials : Elements
(160.3900) Materials : Metals
(300.6365) Spectroscopy : Spectroscopy, laser induced breakdown

History
Original Manuscript: October 5, 2011
Revised Manuscript: January 5, 2012
Manuscript Accepted: January 5, 2012
Published: February 29, 2012

Citation
Jeremy J. Hatch, Timothy R. McJunkin, Cynthia Hanson, and Jill R. Scott, "Automated interpretation of LIBS spectra using a fuzzy logic inference engine," Appl. Opt. 51, B155-B164 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-7-B155

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