This paper describes a convenient PC-based acoustic signal processing
system and its application for monitoring hydrocyclone performance. Ac
oustic emissions generated from a five inch diameter hydrocyclone unde
r different operating conditions were collected using a single 190 KHz
passive acoustic sensor mounted externally an the conical section of
the hydrocyclone. Subsequent analysis shows that the spectral characte
ristics of the signal are sensitive to the variations of operating par
ameters (feed pressure, solid concentrations, mass and volume flowrate
and underflow solid concentrations). Use of multivariate statistical
analysis techniques allows the quantitative relationships between vari
ous operating parameters of the hydrocyclone and the statistical and s
pectral characteristics of the acoustic signals to be established. The
application of this sensor technology to audit classifiers and its po
tential for real-time control is demonstrated based on a laboratory ca
se study. (C) 1998 Elsevier Science Ltd. All rights reserved.