| 注册
首页|期刊导航|石油与天然气化工|红外光谱结合化学计量学方法快速测定在用航空润滑油的酸值

红外光谱结合化学计量学方法快速测定在用航空润滑油的酸值

王菊香 邢志娜 申刚

石油与天然气化工Issue(5):553-557,5.
石油与天然气化工Issue(5):553-557,5.DOI:10.3969/j.issn.1007-3426.2014.05.019

红外光谱结合化学计量学方法快速测定在用航空润滑油的酸值

Rapid determination of acid number in used aviation lubricating oil by FTIR spectrometry combined chemometrics

王菊香 1邢志娜 1申刚1

作者信息

  • 1. 海军航空工程学院飞行器工程系
  • 折叠

摘要

Abstract

The method of acid number determination in used aviation lubricating oil by fourier transform infrared (FTIR) spectrometry was studied .Infrared spectra was pretreated by S-G smoothing and the first derivative ,and the respective wave number of 19 point and 17 point were selected respectively .After analyzing the spectral absorption of acid radical and comparing the spectra of new oil and used ones ,wave number ranges of 3 597~3 202 cm -1 ,2 600~2 250 cm -1 and 920~800 cm -1 were selected to establish model .Calibration model was built with chemomet-rics methods of partial least square(PLS) and back propagation-artificial neural network(BP-ANN) respectively .Standard deviation of calibration(SEC) of PLS model was 0 .004 ,and stand-ard deviation of prediction (SEP) was 0 .005 .The accuracy of the model was validated by means of t-test(α=0 .05) ,and the result of t-test showed that acid number of used aviation lubricating oil could be determined quickly by FTIR spectrometry with advantages of high accuracy and no-pollution .

关键词

在用航空润滑油/傅里叶红外光谱/酸值/偏最小二乘法/神经网络法

Key words

used aviation lubricating oil/acid number/Fourier transform infrared (FTIR)/partial least squares (PLS)/back propagation-artificial neural network(BP-ANN)

分类

能源科技

引用本文复制引用

王菊香,邢志娜,申刚..红外光谱结合化学计量学方法快速测定在用航空润滑油的酸值[J].石油与天然气化工,2014,(5):553-557,5.

石油与天然气化工

OA北大核心

1007-3426

访问量0
|
下载量0
段落导航相关论文