光谱学与光谱分析 |
|
|
|
|
|
Study on the Antioxidation Property of Engine Oil by Infrared Spectroscopy |
LI Zi-cun, FENG Xin-lu, XIONG Gang |
Fuel and Oil Testing Center, Logistic Engineering University, Chongqing 400016,China |
|
|
Abstract The relationship between the engine oil’s infrared spectroscopic characteristics and its antioxidation property was studied, and the technical method to obtain the spectral information in accordance with the contribution of lubricating-oil composition to antioxidation property is presented. Quantitative self-organization neural networks was developed by combining the advantages of BP neural networks and those of self-organization neural networks. Quantitative self-organization neural networks possesses both the qualitative clustering function of self-organization neural networks and the quantitative analysis function of BP neural networks, and features better robustness, so the quantitative analysis result of quantitative self-organization neural networks was better than that of BP neural networks. The result has provided a kind of new technology means for fast testing lubricating-oil performance.
|
Received: 2005-12-28
Accepted: 2006-03-26
|
|
Corresponding Authors:
LI Zi-cun
E-mail: hgycfx@163.com
|
|
Cite this article: |
LI Zi-cun,FENG Xin-lu,XIONG Gang. Study on the Antioxidation Property of Engine Oil by Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(03): 444-447.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I03/444 |
[1] FENG Xin-lu, SHI Yong-gang(冯新泸,史永刚). Near Infrared Spectra and Application in Petroleum Product Analyses(近红外光谱及其在石油产品分析中的应用). Beijing: China Petrochemical Inductry Press(北京: 中国石化出版社),2002. 201. [2] Analyx Corp. Up-to-Date ASTM Fule Characteristic Fast Teasting Instrument Manual(最新ASTM燃油特性快速微量测试仪器手册). 2002, 1. [3] HUANG Wen-xuan(黄文轩). Lubricating Oil Addlication Guide(润滑油添加剂应用指南). Beijing: China Petrochemical Industry Press(北京: 中国石化出版社),2003. 1. [4] FENG Xin-lu,LUO Ping-ya(冯新泸,罗平亚). Petroleum Processing and Petrochemicals(石油炼制与化工),2003,20(3):44. [5] FENG Xin-ping, DAI Yue-ju,ZHOU Yi(冯心凭,戴月菊,周 毅). Petroleum and Natural Gas Chemical Engineering(石油与天然气化工),2002,31(3): 154. [6] ZHANG Zheng, WENG Hui-xin, ZHU Jun, et al(张 峥,翁惠新,朱 军,等). Petroleum Processing and Petrochemicals(石油炼制与化工),2002,33(5):46. [7] WANG Li-juan, LIU Wei-min(王丽娟,刘维民). Lubricating Oil(润滑油),1998,13(1):55. [8] GAO Rong-qiang, FAN Shi-fu, YAN Yan-lu, et al(高荣强,范世福,严衍禄,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(12): 1563. [9] LI Yan, WANG Jun-de, GU Bing-he, et al(李 燕, 王俊德, 顾炳和, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),1999,19(6):844. [10] LI Yan, WANG Jun-de, WANG Lian-jun(李 燕, 王俊德, 王连军). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(4):477. [11] QI Xiao-ming, ZHANG Lu-da, DU Xiao-lin, et al(齐小明,张录达,杜晓林,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(5):870. [12] XU Yong-qun, SUN Su-qin, ZHOU Qun, et al(徐永群,孙素琴,周 群, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002, 22(6):945. [13] TANG Yan-feng, ZHANG Zhou-yong, FAN Guo-qiang, et al(汤彦丰,张卓勇,范国强,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(5): 715. [14] BAI Ying-kui, MENG Xian-jiang, DING Dong, et al(白英奎,孟宪江,丁 东,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(3):381. [15] BAI Ying-kui,SHEN Xuan-guo,FENG Yi,et al(白英奎,申铉国,冯 毅,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(6):898.
|
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[4] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[5] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[6] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[8] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[9] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[10] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[11] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[12] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[13] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[14] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
[15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|