Sensor integration system and learning system for automatic reusable manufacturing system センサ、インテグレーション・システムおよび学習システムに関する研究
この論文にアクセスする
この論文をさがす
著者
書誌事項
- タイトル
-
Sensor integration system and learning system for automatic reusable manufacturing system
- タイトル別名
-
センサ、インテグレーション・システムおよび学習システムに関する研究
- 著者名
-
下島, 康嗣
- 著者別名
-
シモジマ, コウジ
- 学位授与大学
-
名古屋大学
- 取得学位
-
博士 (工学)
- 学位授与番号
-
甲第2971号
- 学位授与年月日
-
1994-03-25
注記・抄録
博士論文
名古屋大学博士学位論文 学位の種類:博士(工学) (課程) 学位授与年月日:平成6年3月25日
目次
- Contents / p1 (0004.jp2)
- Acknowledgments / (0003.jp2)
- 1.Introduction / p1 (0007.jp2)
- 1.1 Intelligent robotic technology for reusable manufacturing system / p3 (0009.jp2)
- 1.2 Reusable technology for aircraft industry / p8 (0014.jp2)
- 2.Multi-Sensor Integration System with Fuzzy Inference and Neural Networks for Same Kind of Sensors / p11 (0017.jp2)
- 2.1 Introduction / p11 (0017.jp2)
- 2.2 System configuration / p12 (0018.jp2)
- 2.3 Experimental methods and results / p17 (0023.jp2)
- 2.4 Conclusions / p24 (0030.jp2)
- 3.Multi-Sensor Integration System based on Fuzzy Inference and Neural Networks for Industrial application / p25 (0031.jp2)
- 3.1 Introduction / p25 (0031.jp2)
- 3.2 Multi-sensor integration system based on neural networks and fuzzy inference / p26 (0032.jp2)
- 3.3 Experiments and results / p32 (0038.jp2)
- 3.4 Conclusions / p35 (0041.jp2)
- 4.Fuzzy Inference Integrating 3-D Measuring System with LED Displacement Sensor and Vision System / p44 (0050.jp2)
- 4.1 Introduction / p44 (0050.jp2)
- 4.2 3-D Measurement system / p45 (0051.jp2)
- 4.3 Integration of measurement values by the fuzzy inference / p52 (0058.jp2)
- 4.4 Experiments and results / p53 (0059.jp2)
- 4.5 Conclusions / p61 (0067.jp2)
- 5.Fuzzy Inference Integrating 3-D Measuring System with Adaptive Sensing Strategy / p64 (0070.jp2)
- 5.1 Introduction / p64 (0070.jp2)
- 5.2 Adaptive sensing strategy based on SIS / p65 (0071.jp2)
- 5.3 Experiments of sensor integration system with adaptive sensing strategy / p67 (0073.jp2)
- 5.4 Conclusions / p68 (0074.jp2)
- 6.Fuzzy Inference based on Spline Function / p74 (0080.jp2)
- 6.1 Introduction / p74 (0080.jp2)
- 6.2 Fuzzy inference based on spline function / p76 (0082.jp2)
- 6.3 Simulation results / p84 (0090.jp2)
- 6.4 Conclusions / p87 (0093.jp2)
- 7.Conclusions / p91 (0097.jp2)
- 7.1 Summary / p91 (0097.jp2)
- 7.2 Future works / p92 (0098.jp2)
- Bibliography / p93 (0099.jp2)
- List of publications / p98 (0104.jp2)