| 1 |
Bihocerence based industrial control loop nonlinearity detection and diagnosis in short nonstationary time series
Lang X, Lu S, Xie L, Zakharov A, Zhong D, Jamsa-Jounela SL
Journal of Process Control, 63, 15, 2018 |
| 2 |
Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed
Ramirez E, Finney CEA, Pannala S, Daw CS, Halow J, Xiong QG
Chemical Engineering Journal, 308, 544, 2017 |
| 3 |
Statistics Pattern Analysis: A New Process Monitoring Framework and its Application to Semiconductor Batch Processes
He QP, Wang J
AIChE Journal, 57(1), 107, 2011 |
| 4 |
Unifying some higher-order statistic-based methods for errors-in-variables model identification
Thil S, Zheng WX, Gilson M, Garnier H
Automatica, 45(8), 1937, 2009 |
| 5 |
Third-order cumulants based methods for continuous-time errors-in-variables model identification
Thil S, Garnier H, Gilson M
Automatica, 44(3), 647, 2008 |
| 6 |
Prediction of global daily solar radiation using higher order statistics
Safi S, Zeroual A, Hassani M
Renewable Energy, 27(4), 647, 2002 |
| 7 |
On closed-loop system identification using polyspectral analysis given noisy input-output time-domain data
Tugnait JK, Zhou Y
Automatica, 36(12), 1795, 2000 |
