Title :
The application of multisensor fusion technology in diesel engine oil analysis
Author :
Chiao, Sun ; Xufeng, Pan ; Xiaolei, Li
Author_Institution :
Beijing Inst. of Technol., China
Abstract :
Many kinds of instruments and sensors are used during condition monitoring of diesel engines. Multisensor fusion technology is introduced to raise the accuracy and fault tolerance ability effectively. An artificial neural network is used for the fusion. Aiming at the problems of diesel engine condition monitoring, the application of multisensor fusion technology in oil analysis is implemented and an experiment is given
Keywords :
computerised monitoring; fault tolerant computing; internal combustion engines; learning (artificial intelligence); lubrication; neural nets; power engineering; power engineering computing; sensor fusion; artificial neural network; diesel engine condition monitoring; diesel engine oil analysis; experiment; fault tolerance; instruments; multisensor fusion technology; sensors; Artificial neural networks; Chemical analysis; Condition monitoring; Diesel engines; Error analysis; Information analysis; Petroleum; Sensor fusion; Sensor systems and applications; Sun;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.571262
