| Project/Area Number |
15360424
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Reaction engineering/Process system
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| Research Institution | Waseda University |
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Principal Investigator |
MATSUYAMA Hisayoshi Waseda University, Graduate School of Information, Production, and Systems, Professor, 大学院・情報生産システム研究科, 教授 (80011039)
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| Co-Investigator(Kenkyū-buntansha) |
TATENO Shigeyuki Waseda University, Graduate School of Information Production and Systems, Associate Professor, 大学院・情報生産システム研究科, 助教授 (70243897)
TSUGE Yoshifumi Kyushu University, Faculty of Engineering, Professor, 大学院・工学研究院, 教授 (00179988)
TAKEDA Kazuhiro Shizuoka University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (60274502)
SUZUKI Kazuhiko Okayama University, Faculty of Engineering, Professor, 工学部, 教授 (50196797)
YMASHITA Yoshiyuki Tohoku University, Faculty of Engineering, Associate Professor, 大学院・工学研究科, 助教授 (60200698)
橋本 芳宏 名古屋工業大学, 工学部, 教授 (90180843)
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| Project Period (FY) |
2003 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥14,800,000 (Direct Cost: ¥14,800,000)
Fiscal Year 2006: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2005: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2004: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 2003: ¥8,600,000 (Direct Cost: ¥8,600,000)
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| Keywords | Process Operation and Maintenance / Process Information Analysis / Process System Design / Process Control / Fault Detection / Fault Diagnosis / Deterioration / Safety Management |
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| Research Abstract |
1. In order to select test points for erosion-corrosion of carbon steel pipes, a method was developed to predict the area with maximal shearing stress by use of computational fluid dynamics software.
2. In order to select test points for atmospheric corrosion of insulated pipes, a method was developed to predict corrosion rates by use of information obtained in the design stage, information obtained in the operation stage and information obtained from outlooks of insulations.
3. For the safety of chemical plants, safety design based on the concept of independent protection layers (IPLs) has been introduced in chemical/oil refinery industries. Risk assessment/safety design support system is proposed to develop integrated safety management environment for Chemical plants
4. A method based on support vector machine is proposed for fault detection in time series process data. Support vector machine is one of supervised leaning method. We studied how to use this method in fault detection and a
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ssessed its potentiality by using real distillation column time series data.
5. In order to clear and localize the effect of equipment trouble, new methods of fault detection and diagnosis was developed by using weak components in noisy signals. Application of the methods to both simulation and real plant showed that the faults can be accurately detected and diagnosed.
6. A nonlinear modeling technique using historical data during normal operations, which is called DB (database) modeling, has been proposed in order to predict the normal states of a dynamic process. We reported the good results of predictions with the numerical experiments by use of the tank-pipeline system, PVC batch process and the boiler plant simulator.
7. Large parts of oscillations observed in chemical plants are caused by faults of sensors or actuators. In this research, the fault detection capability of the method using high order statistics was examined and analyzed. And a control algorithm to stabilize the control system with abnormal sensors or actuators was proposed. Less
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