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๊ฒ€์ฆ๋œ ํŒŒํŠธ๋„ˆ ์ œํœด์‚ฌ ์ž๋ฃŒ

Application of Principal Components Analysis Method to Wireless Sensor Network Based Structural Monitoring Systems

7 ํŽ˜์ด์งฟ’
๊ธฐํƒ€ํŒŒ์ผ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2025.03.01 ์ตœ์ข…์ ฟ’์ž‘์ผ 2008.03
7P ๋ฏธ๋้ฉ๋ณด๊ธฐ
Application of Principal Components Analysis Method to Wireless Sensor Network Based Structural Monitoring Systems
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์„œ์่ง์ •๋ต–

    ยท ๋ฐœํ–‰๊ธฐ๊ด€ : ํ•œ๊ตญ์ง€๋Šฅ์‹œ์Šคํ…œํ•™ํšŒ
    ยท ์ˆ˜๋ก์ง€ ์ •๋ณด : International Journal of Fuzzy Logic and Intelligent systems / 8๊ถŒ / 1ํ˜ธ / 11 ~ 17ํŽ˜์ด์งฟ’
    ยท ์ €์ž๋ช… : Zhang Congyi, Jose Leo Mission, ์œก์˜์ˆ˜, ๊น€ํ˜•์ฃผ, ๊น€์„ฑํ˜ธ

    ์ดˆ๋ก

    Typical wireless sensor networks used in structural monitoring are continuous types wherein data transmission is progressive at all time that may include irrelevant and insignificant data and information. Continuous types of wireless monitoring systems often pose problems of handling large-sized data that may deteriorate the performance of the system. The proposed method is to suggest an event-triggered monitoring system that captures and transmits relevant data only. An error signal generated by the Principal Components Analysis (PCA) is utilized as an index for event detection and selective data transmission. With this new monitoring scheme, the remote server is relieved of unwanted data by receiving only relevant information from the wireless sensor networks. The performance of the proposed scheme was verified with simulation studies.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
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โ€œInternational Journal of Fuzzy Logic and Intelligent systemsโ€์˜ ๋‹ค๋ฅธ ๋…ผ๋ๅฉ๋„ ํ™•์ธํ•ด ๋ณด์„ธ์š”!

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