St. Petersburg Polytechnic University Journal: Physics and Mathematics Научно-технические ведомости СПбГПУ. Физико-математические науки 2304-9782, 2618-8686, 2405-7223 9 Technique of digital signal processing of Raman spectra for hydrocarbon lubricants condition diagnostics based on viscosity estimation Методика цифровой обработки спектров комбинационного рассеяния для диагностики состояния углеводородных смазок на основе оценки их вязкости Ushakov Nikolai n.ushakoff@spbstu.ru Dorigo Daniel d.dorigo@tum.de 0000-0001-8448-2024 Kotov Oleg kotov@rphf.spbstu.ru 0000-0001-5988-1429 Liokumovich Leonid leonid@spbstu.ru Peter the Great St. Petersburg Polytechnic University 10 03 2012 1 141 60 67

In the presented paper an ability of application of Raman spectroscopy and modern signal processing methods for hydrocarbon lubricants quality estimation has been considered. Principal component analysis and wavelet filtering methods were used for complex signal processing. On the basis of experimental spectra an ability of lubrication oils viscosity estimation was demonstrated.

 raman spectroscopy principal component analysis optical spectrum wavelet filtering classification lubricant viscosity