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Intelligent sensors with embedded al...
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Oesch, Christopher.
Intelligent sensors with embedded algorithms for ISHM applications .
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
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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Source: Masters Abstracts International, Volume: 45-02, page: 1053.
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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.
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