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
  • [21] Nanomaterial Gas Sensors for Online Monitoring System of Fruit Jams
    Nunez-Carmona, Estefania
    Abbatangelo, Marco
    Zottele, Ivano
    Piccoli, Pierpaolo
    Tamanini, Armando
    Comini, Elisabetta
    Sberveglieri, Giorgio
    Sberveglieri, Veronica
    FOODS, 2019, 8 (12)
  • [22] Information-fusion method of multiple micro-inertial sensors
    2000, Ind Instrum Autom, China
  • [23] Monitoring of flexible oil lines using FBG sensors
    Morikaiwa, Sergio R. K.
    Camerini, Claudio S.
    Pipa, Daniel R.
    Santos, Joao M. C.
    Pires, Gustavo P.
    Braga, Arthur M. B.
    Llerena, Roberth W. A.
    Ribeiro, Alexandre S.
    19TH INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS, PTS 1 AND 2, 2008, 7004
  • [24] On Fusion of Information from Multiple Sensors in the Presence of Analog Erasure Links
    Gupta, Vijay
    Martins, Nuno C.
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 2705 - 2710
  • [25] Online Monitoring of Pharmaceutical Materials Using Multiple NIR Sensors-Part I: Blend Homogeneity
    Igne, Benoit
    Zacour, Brian M.
    Shi, Zhenqi
    Talwar, Sameer
    Anderson, Carl A.
    Drennen, James K., III
    JOURNAL OF PHARMACEUTICAL INNOVATION, 2011, 6 (01) : 47 - 59
  • [26] An information fusion system of sensors for human-machine communication
    Wan, Khairunizam
    Todo, Atsushi
    Benoit, Eric
    Sawada, Hideyuki
    IECON 2007: 33RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, CONFERENCE PROCEEDINGS, 2007, : 239 - +
  • [27] Prototyping an Operational System with Multiple Sensors for Pasture Monitoring
    Gobbett, David L.
    Handcock, Rebecca N.
    Zerger, Andre
    Crossman, Chris
    Valencia, Philip
    Wark, Tim
    Davies, Micah
    JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2013, 2 (03): : 388 - 408
  • [28] Reliable Web-based CSCW Systems using Information Fusion of various multiple Biological Sensors
    Sakurai, Yoshitaka
    Hashida, Shoko
    Tsuruta, Setsuo
    Ihara, Hirokazu
    SITIS 2008: 4TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY AND INTERNET BASED SYSTEMS, PROCEEDINGS, 2008, : 480 - +
  • [29] Research on the online monitoring technique for transformer oil level based on ultrasonic sensors
    Zhu, Yongcan
    Bing, Kaiyang
    Liu, Dongyang
    He, Jiacheng
    Shi, Haonan
    Huang, Xinbo
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2024, 18 (07) : 349 - 360
  • [30] The Data Fusion in Multi-sensors Grain Information Monitoring System Based on Improved BP Neural Networks
    Mao, Zhe
    Zhang, Zhuoran
    Lu, Yaling
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 269 - 276
12345