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Intelligent sensors with embedded al...

Oesch, Christopher.

Intelligent sensors with embedded algorithms for ISHM applications .

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent sensors with embedded algorithms for ISHM applications ./
作者:	Oesch, Christopher.
面頁冊數:	98 p.
附註:	Source: Masters Abstracts International, Volume: 45-02, page: 1053.
Contained By:	Masters Abstracts International45-02.
標題:	Engineering, Mechanical. -
電子資源:	Download PDF (下載PDF全文)

Intelligent sensors with embedded algorithms for ISHM applications .
Oesch, Christopher.

Intelligent sensors with embedded algorithms for ISHM applications . - 98 p.

Source: Masters Abstracts International, Volume: 45-02, page: 1053.

Thesis (M.S.)--Southern Illinois University at Carbondale, 2006.

Under a project being undertaken at NASA's Stennis Space Center, an integrated framework is being developed for intelligent monitoring of smart elements. Integrated Systems Health Monitoring is an implementation of a monitoring system which is robust, user friendly, and adaptable. This thesis focuses on only smart sensors, and shows the advantage of utilizing an enhanced version of a previously developed intelligent sensor algorithm, DATA-SIMLAMT, called Enhanced DATA-SIMLAMT or EDATA-SIMLAMT. This new version contains additional properties and states for improved data interpretation. The additional properties are based on a signal processing tool known as wavelet analysis. The major advantage provided by adding wavelet analysis is the ability to detect sudden transitions as well as get a handle on the frequency content using a much smaller data set then that required by the traditional Fourier transform method. Historically, sudden transitions could only be detected by a manual analysis of the data. EDATA-SIMLAMT provides an opportunity to automatically detect many data anomalies as well as improved data-correction and sensor health diagnostic abilities. The newly developed system has been tested on actual rocket test data provided by NASA's Stennis Space Center.Subjects--Topical Terms:

170925
Engineering, Mechanical.

Intelligent sensors with embedded algorithms for ISHM applications .
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008 070601s2006 eng d
035 $a (UnM)AAI1440144
035 $a AAI1440144
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100 1 $a Oesch, Christopher. $3 1000006182
245 1 0 $a Intelligent sensors with embedded algorithms for ISHM applications .
300 $a 98 p.
500 $a Source: Masters Abstracts International, Volume: 45-02, page: 1053.
500 $a Adviser: Ajay Mahajan.
502 $a Thesis (M.S.)--Southern Illinois University at Carbondale, 2006.
520 $a Under a project being undertaken at NASA's Stennis Space Center, an integrated framework is being developed for intelligent monitoring of smart elements. Integrated Systems Health Monitoring is an implementation of a monitoring system which is robust, user friendly, and adaptable. This thesis focuses on only smart sensors, and shows the advantage of utilizing an enhanced version of a previously developed intelligent sensor algorithm, DATA-SIMLAMT, called Enhanced DATA-SIMLAMT or EDATA-SIMLAMT. This new version contains additional properties and states for improved data interpretation. The additional properties are based on a signal processing tool known as wavelet analysis. The major advantage provided by adding wavelet analysis is the ability to detect sudden transitions as well as get a handle on the frequency content using a much smaller data set then that required by the traditional Fourier transform method. Historically, sudden transitions could only be detected by a manual analysis of the data. EDATA-SIMLAMT provides an opportunity to automatically detect many data anomalies as well as improved data-correction and sensor health diagnostic abilities. The newly developed system has been tested on actual rocket test data provided by NASA's Stennis Space Center.
590 $a School code: 0209.
650 4 $a Engineering, Mechanical. $3 170925
690 $a 0548
710 2 0 $a Southern Illinois University at Carbondale. $3 1000005759
773 0 $t Masters Abstracts International $g 45-02.
790 1 0 $a Mahajan, Ajay, $e advisor
790 $a 0209
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1440144 $z Download PDF (下載PDF全文)