Information Fusion of Online Oil Monitoring System Using Multiple Sensors

被引：1
|
作者：
高慧良
周新聪
程海明
赵春华
严新平
机构：
[1] Wuhan 430063
[2] Reliability Engineering Institute
[3] China
[4] Wuhan University of Technology
来源：
TsinghuaScienceandTechnology | 2004年 / 03期
关键词：
oil monitoring; online monitor; sensor; fuzzy;
D O I：
暂无
中图分类号：
TP212 [发送器（变换器）、传感器];
学科分类号：
080202 ;
摘要：
Machine lubrication contains abundant information on the equipment operation. Nowadays, most measuring methods are based on offline sampling or on online measuring with a single sensor. An online oil monitoring system with multiple sensors was designed. The measurement data was processed with a fuzzy intelligence system. Information from integrated sensors in an oil online monitoring system was evaluated using fuzzy logic. The analyses show that the multiple sensors evaluation results are more reliable than online monitoring systems with single sensors.
引用
收藏
页码：258 / 261
页数：4
相关论文
共 50 条
  • [41] RoadPlot-DATMO: Moving Object Tracking and Track Fusion System using Multiple Sensors
    Na, Kiin
    Byun, Jaemin
    Roh, Myongchan
    Seo, Beomsu
    2015 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2015, : 142 - 143
  • [42] Information fusion sensors for vehicle localization using evidence theory
    Zribi, HAM
    Benjelloun, M
    2004 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), VOLS. 1- 3, 2004, : 1067 - 1071
  • [43] Behavior Extraction from Multiple Sensors Information for Human Activity Monitoring
    Nii, Manabu
    Nakai, Kazuki
    Takahashi, Yutaka
    Higuchi, Kohei
    Maenaka, Kazusuke
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 1157 - 1161
  • [44] An Elderly Care System Based on Multiple Information Fusion
    He, Zhiwei
    Lu, Dongwei
    Yang, Yuxiang
    Gao, Mingyu
    JOURNAL OF HEALTHCARE ENGINEERING, 2018, 2018
  • [45] Stress Monitoring System using Sensors for Drivers
    Selvi, Senthamizh R.
    Aishwarya, J. V. R.
    Deepavarshini, S.
    Sudha, S.
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (13): : 317 - 322
  • [46] Information fusion estimators for systems with multiple sensors of different packet dropout rates
    Ma, Jing
    Sun, Shuli
    INFORMATION FUSION, 2011, 12 (03) : 213 - 222
  • [47] Integrated Charging with Neural Networks for Fusion Sensors of Driver Monitoring System
    Lai, Wen-Cheng
    2021 IEEE 12TH ENERGY CONVERSION CONGRESS AND EXPOSITION - ASIA (ECCE ASIA), 2021, : 2065 - 2068
  • [48] Robust tool wear monitoring system development by sensors and feature fusion
    Lin, Yu-Ru
    Lee, Ching-Hung
    Lu, Ming-Chyuan
    ASIAN JOURNAL OF CONTROL, 2022, 24 (03) : 1005 - 1021
  • [49] Online oxygen monitoring using integrated inkjet-printed sensors in a liver-on-a-chip system
    Moya, A.
    Ortega-Ribera, M.
    Guimera, X.
    Sowade, E.
    Zea, M.
    Illa, X.
    Ramon, E.
    Villa, R.
    Gracia-Sancho, J.
    Gabriel, G.
    LAB ON A CHIP, 2018, 18 (14) : 2023 - 2035
  • [50] MONITORING OF OIL-SPILLS USING AIRBORNE AND SPACEBORNE SENSORS
    SINGH, KP
    NATURAL HAZARDS: MONITORING AND ASSESSMENT USING REMOTE SENSING TECHNIQUE, 1995, 15 (11): : 101 - 110
12345