Development of safety utilization system using wavelet transform for a small scale windmill power system.
| Project/Area Number |
15560265
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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 |
電力工学・電気機器工学
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| Research Institution | ANAN National College of Technology |
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Principal Investigator |
TOUMIYA Tatsumi Anan National College of Technology, Professor, 電気電子工学科, 教授 (80106129)
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| Project Period (FY) |
2003 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2005: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2004: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2003: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | wind power generating system / wavelet transform / safety utilization system / online / condition diagnosis / windmill rotating vibration signal / windmill rotating sound signal |
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| Research Abstract |
In this study, I am aimed for development of the online condition diagnosis device using wavelet transform, to use a small wind-generated electricity device safely at a place with a private house in the roof and neighborhood of a building. I show the items and the result that I examined below in this study.
1.Examination about the most suitable online condition diagnostic program.
There are chipped off blades and snow-coating blades as actual failures of the windmill. Both the failures belong to one category, i.e., imbalanced abnormal condition.
At first, I suggested several techniques to distinguish an imbalance or normal condition by the vibration signal. In these techniques, I developed a suitable method of feature extraction base on DWT, averaging absoluted coefficients, and normalization in order to diagnose a summary of the windmill. By applying developed method for several conditions of the windmill blade, I could obtain features which can be easily distinguished. Moreover, to give precision of a state diagnosis, I also examined the diagnostic method that we used both not only a vibration signal but also a acoustic signal due to rotating of windmill.
2.Examination of the summary diagnosis device using a measurement data transmission and reception system Because the vibration signal is monitored at a remote place from an establishment place of a windmill, it is necessary to transmit correspondence it. I developed a condition diagnosis device using notebook-sized PC which consisted of a measurement data transmission system with FM transmission and reception device. In addition, the simple diagnosis device which I used a one board microcomputer with liquid crystal LCD was able to be almost completed.
I contributed these results to Japanese association of wind power energy magazine and Anan National College of Technology study bulletin.
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Report
(4 results)
Research Products
(20 results)
