| Budget Amount *help |
¥13,390,000 (Direct Cost: ¥10,300,000、Indirect Cost: ¥3,090,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
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| Research Abstract |
This study aimed to develop for the structural health monitoring system which can detected invisible initial damage for an elevator and the amusement machine. The experiment of initial damage detection by using an acceleration sensor and the wire rope tester was executed, then, an appropriate signal processing for the feature extraction method and the damage identification by the machine learning were examined. From measurements of the response acceleration and leakage flux, the initial damage and rust of the wire rope was proven to be able to detect by high accuracy.
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