NDLI: Acoustic Tomography for Detecting a Hot Spot in Grain Bulk

Content Provider	IEEE Xplore Digital Library
Author	Hua Yan Ke Xin Cui Li Jun Liu Yue Qi
Copyright Year	2009
Abstract	A hot spot is a localized high temperature zone in a grain bulk and normally spoilage begins in this location. Acoustic temperature tomography for detecting a hot spot in grain bulk is investigated. The region monitored is assumed to be square and divided into 400 pixels. 16 sound sources/receivers are set on its periphery. An acoustic temperature field reconstruction algorithm based on inverse multiquadrics approximation and truncated singular value decomposition is proposed. Using this algorithm, 400 temperature field models with a hot spot positioned at the midpoint of each pixel in turn have been reconstructed from exact or perturbed time-of-flight data. Reconstruction results indicate that the algorithm proposed is good at reconstructing hot spot temperature, especially at reconstructing hot spot position. Thus it is expected to be used in detecting hot spots in grain bulk.
Starting Page	174
Ending Page	177
File Size	564492
Page Count	4
File Format	PDF
ISBN	9780769535838
DOI	10.1109/ICMTMA.2009.411
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature distribution temperature measurement acoustic tomography Reconstruction algorithms Acoustic signal detection Temperature measurement Temperature sensors Tomography reconstruction algorithm hot spot detection Acoustic measurements Monitoring Acoustic waves Singular value decomposition stored grain
Content Type	Text
Resource Type	Article

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