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On-Line Nonintrusive Detection of Wood Pellets in Pneumatic Conveying Pipelines Using Vibration and Acoustic Sensors

Sun, Duo, Yan, Yong, Carter, Robert M., Gao, Lingjun, Lu, Gang, Riley, Gerry, Wood, Matthew (2014) On-Line Nonintrusive Detection of Wood Pellets in Pneumatic Conveying Pipelines Using Vibration and Acoustic Sensors. IEEE Transactions on Instrumentation and Measurement, 63 (5). pp. 993-1001. ISSN 0018-9456. (doi:10.1109/TIM.2013.2292284) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:40857)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/TIM.2013.2292284

Abstract

This paper presents a novel instrumentation system for on-line nonintrusive detection of wood pellets in pneumatic conveying pipelines using vibration and acoustic sensors. The system captures the vibration and sound generated by the collisions between biomass particles and the pipe wall. Time-frequency analysis technique is used to eliminate environmental noise from the signal, extract information about the collisions, and identify the presence of wood pellets. Experiments were carried out on an industrial pneumatic conveying pipeline to assess effectiveness and operability. The impacts of various factors on the performance of the detection system are compared and discussed, including different sensing (vibration sensor versus acoustic sensor), different time-frequency analysis methods (wavelet-based denoising versus classic filtering), and different system installation locations.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2013.2292284
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 25 Apr 2014 15:22 UTC
Last Modified: 17 Aug 2022 10:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/40857 (The current URI for this page, for reference purposes)

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