| Project/Area Number |
20560752
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Naval and maritime engineering
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| Research Institution | National Fisheries University |
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Principal Investigator |
OHTA Hiromitsu National Fisheries University, 海洋機械工学科, 准教授 (80399641)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2010: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2009: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2008: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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| Keywords | 海上安全 / 船舶工学 / 超音波振動 / 漁船機関 / 状態監視 / 潤滑油 / 線形自己回帰モデル / トルクリッチ / 潤滑油性状 / 機関損傷 / メンテナンス / 振動音響 / ARXモデル / システム同定 / 舶用機関 / 漁船 / 診断 |
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| Research Abstract |
The purpose of this research is development of an optimized new generation condition monitoring system for reciprocal fishing vessel engine which is not generally well kept at cost and man power associated with maintenance. In, particular, the construction on the estimation method of lubricated and critical torque rich conditions within fishing vessel engine is carried out by measuring generated ultrasonic vibration signal in operation. As merit of the proposed condition monitoring system, is able to monitor the symptom of the initial fault of fishing vessel engine, lubricated and critical torque rich conditions are closely related with the initial faults and performance of the reciprocal engine. Further, the monitoring system is able to monitor from the middle fault forth by analyzing obtained audio frequency band vibration and sound generated from the reciprocal engine too. The identification method of fault conditions is based on paralleled ARX model (Auto Regressive with Extra Input) at condition monitoring locations within the engine. It is possible to diagnose above fault condition by the improve SN ratio.
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