Research of Material On-Line Identification Based on Terahertz Spectrum

Qing Hua Zhang; Xiai Chen; Shuang Ke; Lu Han; Zhi Long Zhou

doi:10.4028/www.scientific.net/AMM.670-671.1269

Paper Titles

An Effective Independence-Improved Modal Strain Energy Method for Optimal Sensor Placement of Bridge Structures
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Development of a Wearable Biosensor System for Ubiquitous Healthcare Applications
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The Measurement Technique of Blind Hole Based on Capacitive Probe Sensor
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Accurate Measurement and Digital Modelling of Complex Surface
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Research of Material On-Line Identification Based on Terahertz Spectrum
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New Monitoring System of the Refractory Lining Wear in the Blast Furnace Hearth
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Roundness Error Evaluation Based on Differential Evolution Algorithm
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Stiffness Detection of Silicon Arm Based on Micro-Loading Method
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The Study on Optimum Thickness of Thermocouple Used for Measuring the Grinding Temperatures of Brittle Materials
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 670-671Research of Material On-Line Identification Based...

Research of Material On-Line Identification Based on Terahertz Spectrum

Abstract:

A material on-line identification system based on THz time-domain spectroscopy using VC was developed in this paper. The main functions including data reading, linear motor driving, the calculation of optical parameters, the display and management of curve, the management of interface, the analysis of historical data , the maintenance and updating of database, and on-line identification based on principal component analysis were realized. As the prototype of material detection application, the material whose corresponding type characteristic spectrum has already existed in the database could be well identified.

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Periodical:

Applied Mechanics and Materials (Volumes 670-671)

Pages:

1269-1273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.670-671.1269

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Online since:

October 2014

Authors:

Qing Hua Zhang, Xiai Chen*, Shuang Ke, Lu Han, Zhi Long Zhou

Keywords:

Pattern Recognition, Principal Component Analysis (PCA), Terahertz Time-Domain Spectroscopy, THz Wave

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* - Corresponding Author

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