| Project/Area Number |
04555051
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
機械力学・制御工学
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| Research Institution | TOHOKU UNIVERSITY |
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Principal Investigator |
CHONAN Seiji Tohoku Univ., Dept.of Aeronautics and Space Eng., Professor, 工学部, 教授 (20005424)
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| Co-Investigator(Kenkyū-buntansha) |
JIANG Zhongwei Tohoku Univ., Dept.of Aeronautics and Space Eng., Associate Professor, 工学部, 助教授 (60225357)
MORI Kazuo Mechanical Engineering Lab.Manufacring Information Division, Director, 課長
TANI Junji Tohoku Univ., Institute of Fluid Science, Professor, 流体科学研究所, 教授 (30006192)
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| Project Period (FY) |
1992 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥6,100,000 (Direct Cost: ¥6,100,000)
Fiscal Year 1994: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1993: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1992: ¥3,700,000 (Direct Cost: ¥3,700,000)
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| Keywords | Tactile Sensor / Tribosensor / Rubbing / Data Analysis / Neural Network / 二段識別方法 / パルスカウント / ニューラルネットワーク |
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| Research Abstract |
This research is a study on the development of a new tribosensor that has the sensibility of human finger. The sensor is basically a piezoceramic AE sensor. It is placed and moved on the material to be identified. The voltage signal from the sensor is first stored in the digital memory for a fixed period of time. It is then analyzed to obtain the maximum signal strength, the total number of concaves and convexes of the signal, and the number of crossings with the line of mean signal strength. Each set of the parameters obtained is compared with the training set of data in the neural networks, and the material of the measured sample is fixed. Experimental results obtained show that the present sensor system identifies the material 85% correctly for 120 samples of 6 different materials and the correct recognition is rised to 95% by two step assortment.
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