Fault Diagnosis of Engine Lubrication System

被引：0
作者：
Pawashe, Avinash R. [1 ]
Kalkundri, Siddharth S. [1 ]
Chavan, Chetan B. [1 ]
Rammohan, A. [2 ]
机构：
[1] VIT Univ, SMEC, Automobile Engn, Vellore, Tamil Nadu, India
[2] VIT Univ, TIFAC CORE, Vellore, Tamil Nadu, India
来源：
2017 INTERNATIONAL CONFERENCE ON MICROELECTRONIC DEVICES, CIRCUITS AND SYSTEMS (ICMDCS) | 2017年
关键词：
MATLAB; Lubrication oil; fault; diagnostics; Oil sensor; Engine oil;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
the techniques used in fault diagnosis of automotive engine oils are discussed. The importance of Oil change at the right time and the effect of parameters like water contamination, particle contamination, oxidation, viscosity, fuel content in oil are also discussed. Analysis is carried out on MATLAB with reference to the variation of Dielectric constant of lubrication oil over the use period. The program is designed to display the values of Iron content (particles), water content, density and Acid value at particular instant and display the condition of oil in terms of parameter.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Molecular dynamics simulation on engine oil nanolubricant boundary lubrication conditions
    Srivastava, Isha
    Kotia, Ankit
    Ghosh, Subrata Kumar
    HEAT TRANSFER, 2024, 53 (01) : 199 - 224
  • [22] Frequency and Time Fault Diagnosis Methods of Power Transformers
    Gutten, Miroslav
    Korenciak, Daniel
    Kucera, Matej
    Janura, Richard
    Glowacz, Adam
    Kantoch, Eliasz
    MEASUREMENT SCIENCE REVIEW, 2018, 18 (04): : 162 - 167
  • [23] Research on Insulator Fault Diagnosis and Remote Monitoring System Based on Infrared Images
    Zhou Shen-pei
    Lei Xi
    Qiao Bing-chen
    Hou Hui
    8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017), 2017, 109 : 1194 - 1199
  • [24] APPROACH　TO　FAULT　DETECTION　AND　DIAGNOSIS　OF　NONLINEAR　ELECTRO-HYDRAULIC　SERVO　SYSTEM
    Chinese Journal of Mechanical Engineering, 1997, (01) : 54 - 59
  • [25] Dynamic fault diagnosis means of the power message system based on big data
    He D.
    Chen T.
    Huang H.
    Qiu W.
    Tang Y.
    Jiang J.
    International Journal of Information and Communication Technology, 2022, 20 (01) : 83 - 96
  • [26] Fault diagnosis of the steam turbine condenser system based on SOM neural network
    Hu, NS
    He, NN
    Hu, S
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1222 - 1225
  • [27] Wavelet-based fault diagnosis scheme for power system relay protection
    Hua, Diao-Yan
    Ming, Li-Chun
    Yan, Shang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 2187 - 2191
  • [28] Application of SOM neural network in fault diagnosis of the steam turbine regenerative system
    Wu, JF
    Hu, NS
    Hu, S
    Zhao, Y
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 184 - 187
  • [29] Performance investigation of a variable speed vapor compression system for fault detection and diagnosis
    Kim, M
    Kim, MS
    INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2005, 28 (04): : 481 - 488
  • [30] Study on the fault diagnosis system based on combined programming method between Delphi and Matlab
    Tang, LW
    Han, SH
    Zheng, HQ
    Luan, JY
    Sun, ZS
    ICEMI'2001: FIFTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT AND INSTRUMENTS, VOL 1, CONFERENCE PROCEEDINGS, 2001, : 584 - 587
12345