Skip to main content
Kent Academic Repository

Detecting the presence of large biomass particles in pneumatic conveying pipelines using an acoustic sensor

Sun, Duo, Yan, Yong, Carter, Robert M., Lu, Gang, Riley, Gerry, Wood, Matthew (2013) Detecting the presence of large biomass particles in pneumatic conveying pipelines using an acoustic sensor. In: Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International, 6-9 May 2013, Minneapolis, USA. (doi:10.1109/I2MTC.2013.6555661) (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:35928)

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. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1109/I2MTC.2013.6555661

Abstract

This paper proposes a novel approach to online automatic detection of the presence of large biomass particles in a pneumatic conveying pipeline using an acoustic emission sensor and time-frequency analysis techniques. The acoustic sensor is used to capture the sound emitted from the collisions between biomass particles and pipe wall. Time-frequency analysis technique is used to eliminate environmental noise from the acoustic signal, extract the revealing information about the collisions, and identify the large particles. The acoustic sensor together with its signal conditioning unit is integrated into a compact enclosure, which can be easily attached to the outer face of a pneumatic pipeline. Experimental results obtained from an industrial pneumatic conveyor demonstrate the method works well and results are promising.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/I2MTC.2013.6555661
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 01 Nov 2013 14:32 UTC
Last Modified: 16 Feb 2021 12:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35928 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.