2017 Fiscal Year Final Research Report
Development of vibration inspection technique for infrastructure using sensor data fusion
| Project/Area Number |
15K01226
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Ehime University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
NAKAMURA KAZUYUKI 明治大学, 総合数理学部, 准教授 (40462171)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | センサフュージョン / データフュージョン / 振動 / 3次元可視化 / カルマンフィルタ / 粒子フィルタ / 無線計測 |
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| Outline of Final Research Achievements |
A three-dimensional (3D) visualization system was developed to investigate the dynamic state of structural components using portable sensors located at multiple points. The system utilizes wireless data transfer and real-time signal processing for on-site inspection. In this study, the sensor data fusion was incorporated in the system. The noise elimination in acceleration data measured by MEMS sensor was proposed using a complementary filter technique based on the Kalman filter. In our system, an angular velocity sensor and an accelerometer were mounted within each sensor box, and the displacement was calculated numerically. In this time, both sensory data were combined to enhance the accuracy of 3D motion. Furthermore, a data assimilation method was applied into our measurement system to identify the damage. The location and size of the wall thinning part in a structural component were estimated with accuracy by the particle filter technique.
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| Free Research Field |
非破壊検査
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