@inproceedings{8f7cc048d6384dc580aa86e659107c5b,
title = "Detecting the presence of large biomass particles in pneumatic conveying pipelines using an acoustic sensor",
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.",
keywords = "acoustic sensor, biomass, fuel handling, large particle detection, time-frequency analysis",
author = "Duo Sun and Yong Yan and Carter, \{Robert M.\} and Gang Lu and Gerry Riley and Matthew Wood",
year = "2013",
doi = "10.1109/I2MTC.2013.6555661",
language = "英语",
isbn = "9781467346221",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
pages = "1487--1490",
booktitle = "2013 IEEE International Instrumentation and Measurement Technology Conference",
note = "2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 ; Conference date: 06-05-2013 Through 09-05-2013",
}