Acoustic Resonance Spectroscopy for Hazards Materials Classification

Abstract:

In this paper, a measure system based on acoustic resonance is developed for hazards materials classification. It employs the lock-in amplifier as core processor to collect the acoustic resonance spectroscopy (ARS) of sealed containers which storied hazards materials. The transmitter and receiver are coupled externally to the wall of the container. The transmitter generates the sound by using a swept frequency source. The receiver on the opposite side of the wall of the container can detect the transmitted signal. The acoustic properties of hazards materials such as velocity and attenuation can be learned from the observed spectrum signal. Then multivariate methods are used to evaluate pretreatment methods, such as normalization, and classification possibilities of data collected by ARS in a laboratory environment. Principal component analysis (PCA) shows that it is possible to observe differences between samples using the data acquired from the ARS system. Further results obtained from Linear Discriminant Analysis (LDA) show that the identification rates for hazards materials classification are 100%.It is concluded that the ARS system has significant potential in the hazards materials classification.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 686-690
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.686
• Online since: September 2013
• Authors: Lu Jun Zhou, Qiang Chen, Jian Qing Fang
• Keywords: Acoustic Resonance Spectroscopy (ARS), Classification, Hazards Materials, Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA)

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