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Advances in Acoustics and Vibration
Volume 2013, Article ID 610407, 10 pages
Research Article

Experiments on the Use of Signal Visualization Technique for In-Service Stall Detection in Industrial Fans

1Department of Mechanical and Aerospace Engineering, University of Roma-Sapienza, Via Eudossiana 18, 00184 Roma, Italy
2Soluzioni Energia & Diagnostica Srl, Via ASI Consortile 7, 03010 Ferentino, Italy
3Fläkt Woods Ltd, Axial Way, Colchester, Essex CO4 5ZG, UK

Received 4 October 2012; Accepted 15 March 2013

Academic Editor: Tamer Elnady

Copyright © 2013 Stefano Bianchi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The paper describes a stalldetection criterion based on the use of symmetrised dot pattern (SDP) visual waveform analysis and the stallwarning methodology based on a recently developed analysis. The experimental study explores the capability of the SDP technique to detect the stall incipience and evolution in the presence of low signal-to-noise ratios, that is, a noisy working environment. Moreover, the investigation presents a systematic analysis on the probe position’s influence with respect to the fan section. As such, the SDP technique in combination with an acoustic measurement is able to create a visual pattern that one can use to detect stall from potentially any location around the fan/duct system.