Barry Lennox
Barry Lennox
Professor of Applied Control, University of Manchester
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TitleCited byYear
Handbook of neural computation
E Fiesler, R Beale
CRC Press, 1996
Recursive partial least squares algorithms for monitoring complex industrial processes
X Wang, U Kruger, B Lennox
Control Engineering Practice 11 (6), 613-632, 2003
Process monitoring of an industrial fed‐batch fermentation
B Lennox, GA Montague, HG Hiden, G Kornfeld, PR Goulding
Biotechnology and Bioengineering 74 (2), 125-135, 2001
Industrial application of neural networks—an investigation
B Lennox, GA Montague, AM Frith, C Gent, V Bevan
Journal of Process Control 11 (5), 497-507, 2001
The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system
Z Shi, F Gu, B Lennox, AD Ball
Control Engineering Practice 13 (11), 1357-1367, 2005
Monitoring a complex refining process using multivariate statistics
A AlGhazzawi, B Lennox
Control Engineering Practice 16 (3), 294-307, 2008
Model predictive control of an activated sludge process: A case study
M O’Brien, J Mack, B Lennox, D Lovett, A Wall
Control Engineering Practice 19 (1), 54-61, 2011
Integrated condition monitoring and control of fed-batch fermentation processes
H Zhang, B Lennox
Journal of Process Control 14 (1), 41-50, 2004
A float-encoded genetic algorithm technique for integrated optimization of piezoelectric actuator and sensor placement and feedback gains
H Zhang, B Lennox, PR Goulding, AYT Leung
Smart Materials and Structures 9 (4), 552, 2000
Model predictive control monitoring using multivariate statistics
A AlGhazzawi, B Lennox
Journal of Process Control 19 (2), 314-327, 2009
Application of multivariate statistical process control to batch operations
B Lennox, HG Hiden, GA Montague, G Kornfeld, PR Goulding
Computers & Chemical Engineering 24 (2-7), 291-296, 2000
Real-time monitoring of an industrial batch process
O Marjanovic, B Lennox, D Sandoz, K Smith, M Crofts
Computers & chemical engineering 30 (10-12), 1476-1481, 2006
Fault detection in continuous processes using multivariate statistical methods
PR Goulding, B Lennox, DJ Sandoz, KJ Smith, O Marjanovic
International journal of systems science 31 (11), 1459-1471, 2000
Analysis of multivariable control performance assessment techniques
Q Yuan, B Lennox, M McEwan
Journal of Process Control 19 (5), 751-760, 2009
An evaluation of acoustic reflectometry for leakage and blockage detection
KA Papadopoulou, MN Shamout, B Lennox, D Mackay, AR Taylor, ...
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2008
Case study investigating the application of neural networks for process modelling and condition monitoring
B Lennox, P Rutherford, GA Montague, C Haughin
Computers & chemical engineering 22 (11), 1573-1579, 1998
The development of an industrial-scale fed-batch fermentation simulation
S Goldrick, A Ştefan, D Lovett, G Montague, B Lennox
Journal of biotechnology 193, 70-82, 2015
AVEXIS—Aqua vehicle explorer for in-situ sensing
A Griffiths, A Dikarev, PR Green, B Lennox, X Poteau, S Watson
IEEE Robotics and Automation Letters 1 (1), 282-287, 2016
Integrating adaptive and intelligent techniques into a web-based environment for active learning
H Shi, O Rodriguez, Y Shang, S Chen
Intelligent systems: Technology and applications 4 (10), 229-260, 2003
Remote pipeline acoustic inspection
MN Shamout, JT Turner, B Lennox, D Smith
US Patent 7,266,992, 2007
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