Title :
Sensor selected fusion system (application to interference of surface roughness in grinding system)
Author :
Kobayashi, Fukiko ; Arai, Fumihito ; Fukuda, Toshio ; Onoda, Makoto ; Hotta, Yuzo
Author_Institution :
Nagoya Univ., Japan
Abstract :
In grinding process, sensor fusion methods for inferring the surface roughness from online sensing information have received much attention, because it is quite time consuming to measure manually the surface roughness during process. In addition, recently, it is necessary to select the sensing information for adapting to various situation flexibly. This paper proposes a sensor fusion system with sensor selection method for a grinding system. The sensor selection method is based on the production rules, considering the reliability calculated by the possibility measure which is a type of fuzzy measure. Then, the sensor fusion system fuses the sensor information selected by the sensor selection method using a recurrent neural network
Keywords :
computerised monitoring; fuzzy logic; grinding; inference mechanisms; manufacturing data processing; recurrent neural nets; sensor fusion; surface topography; fuzzy inference; grinding; machining; recurrent neural network; reliability; sensor fusion; sensor selection; surface roughness; Fuses; Interference; Production; Recurrent neural networks; Rough surfaces; Sensor fusion; Sensor systems; Sensor systems and applications; Surface roughness; Time measurement;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1999. MFI '99. Proceedings. 1999 IEEE/SICE/RSJ International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5801-5
DOI :
10.1109/MFI.1999.815976
