1. Wang
X., Irwin G.W., McDowell N., McCullough G.
and Krüger U., ‘Application of nonlinear dynamic
PCA to automotive engine modeling and fault
monitoring’, submitted to Control Engineering
Practice in October 2007.
2. Li
P., Wang X. and Wang O., ‘An approach to
using MSPC for power plant process monitoring
and fault diagnosis’, accepted for publication
in: Journal of Chemical Industry and
Engineering (China), (2008).
3. Krüger
U., Zhou Y., Wang X., Rooney D. and
Thomson J., ‘Robust Partial Least Squares
Regression, Part I – Algorithmic Developments’, Journal of Chemometrics, vol. 22, pp.
1-13, (2008)
4. Krüger
U., Zhou Y., Wang X., Rooney D. and
Thomson J., ‘Robust Partial Least Squares
Regression, Part II – New Algorithm and
Benchmark Studies’, Journal of Chemometrics, vol. 22, pp.
14-22, (2008).
5. Krüger
U., Zhou Y., Wang X., Rooney D. and
Thomson J., ‘Robust Partial Least Squares
Regression, Part III –Outlier Analysis and
Application Studies’, accepted for publication
in: Journal of Chemometrics, (2007).
6. McDowell
N., McCullough G., Wang X., Krüger U. and
Irwin G.W., ‘Fault diagnostics for internal
combustion engines – current and future
techniques’, accepted for publication in: Journal
of Engines,
(2007).
7. Wang
X., Krüger U., Irwin G.W., McCullough G. and
McDowell N., ‘Nonlinear PCA with the local
approach for diesel engine fault detection and
diagnosis’, accepted for publication in: IEEE
Transactions on Control Systems Technology,
(2007).
8. McDowell
N., McCullough G., Wang X., Krüger U. and
Irwin G.W., ‘Fault diagnosis for internal
combustion engines’, Automation Technology in
Practice, vol. 4,
issue 3, pp. 19-26,
(2006).
9. Wang
X., Krüger U. and Irwin G.W., ‘Process
monitoring using fast moving window PCA’, Industrial & Engineering Chemistry Research,
vol. 44, no. 15, pp. 5691-5702, (2005).
10. Wang X., Krüger U. and Lennox B.,
‘Recursive partial least squares algorithms for
monitoring complex industrial processes’, Control Engineering Practice, vol. 11, no.
6, pp. 613-632, (2003). |
