Publications

Recent Journal Papers

  1. Gajjar, S., M. Kulahci, A. Palazoglu, “Selection of Non-zero Loadings In Sparse Principal Component Analysis,” Chemometrics and Intelligent Laboratory Systems, accepted (2017).
  2. Wang, X., N.H. El-Farra, A. Palazoglu, “Optimal Scheduling of Demand Responsive Industrial Production with Hybrid Renewable Energy Systems,” Renewable Energy, 100, 53-64 (2017).
  3. Gao, H., Gajjar, S., M. Kulahci, A. Palazoglu, “Process Knowledge Discovery Using Sparse Principal Component Analysis,” Ind. & Eng. Chemistry Research, 55, 12046-12059 (2016).
  4. Tong, C., A. Palazoglu, “Dissimilarity-Based Fault Diagnosis through Ensemble Filtering of Informative Variables,” Ind. & Eng. Chemistry Research, 55, 8774−8783 (2016).
  5. Gajjar, S., A. Palazoglu, “A Data-Driven Multidimensional Visualization Technique for Process Fault Detection and Diagnosis,” Chemometrics and Intelligent Laboratory Systems, 154, 122-136 (2016).
  6. Tong, C., A. Palazoglu, N.H. El-Farra, X. Yan, “Energy Demand Management for Process Systems Through Production Scheduling and Control,” AIChE J., 61(11), 3756–3769 (2015).
  7. Wang, X., A. Palazoglu, N.H. El-Farra, “Operational Optimization and Demand Response of Hybrid Renewable Energy Systems,” Applied Energy, 214, 324-335 (2015).
  8. Wang, X., N.H. El-Farra, A. Palazoglu, “Proactive Reconfiguration of Heat-Exchanger Super Networks,” Ind. & Eng. Chemistry Research, 54, 9178−9190 (2015).
  9. Sun, W., A. Palazoglu, A. Singh, H. Zhang, Q. Wang, Z. Zhao, D. Cao, “Prediction of Surface Ozone Episodes Using Clusters Based Generalized Linear Mixed Effects Models in Houston-Galveston-Brazoria Area, Texas,” Atmospheric Pollution Research, 6, 245-253 (2015).
  10. Chen, Q., Z. Chen, W. Sun, G. Yang, A. Palazoglu, “A New Structuring Element for Multi-scale Morphology Analysis and its Application in Rolling Element Bearing Fault Diagnosis,” J. Vibration and Control, 21(4), 765-789, (2015).
  11. Wang, X., H. Teichgraber, A. Palazoglu N.H. El-Farra, “An Economic Receding Horizon Optimization Approach for Energy Management in the Chlor-Alkali Process with Hybrid Renewable Energy Generation,” J. Process Control, 24, 1318-1327 (2014).
  12. Tong, C., A. Palazoglu, X. Yan, “Improved ICA for Process Monitoring Based on Ensemble Learning and Bayesian Inference,” Chemometrics and Intelligent Laboratory Systems, 135, 141-149 (2014).
  13. Tong, C., A. Palazoglu, N.H. El-Farra, X. Yan, “Fault Detection and Isolation in Hybrid Process Systems Using a Combined Data-driven and Observer-design Methodology,” AIChE J.,60(8), 2805-2814 (2014).
  14. Zhang, H., A. Palazoglu, W. Sun, Z. Zhao, S. Liu, “Prediction of Surface Ozone Exceedance Days Using PCA with Non-parametric T2 Control Limit,” Chemometrics and Intelligent Laboratory Systems, 133, 42-48 (2014).
  15. Tong, C., A. Palazoglu, X. Yan, “An Adaptive Multimode Process Monitoring Strategy Based on Mode Clustering and Mode Unfolding,” J. Process Control, 23, 1497-1507 (2013).

Books

  • Romagnoli, J.A. and Palazoglu, A., Introduction to Process Control, 2nd Edition, CRC Press, Boca Raton, FL (2012).
  • A. Cinar, A. Palazoglu and F. Kayihan., Chemical Process Performance Evaluation, CRC Press-Taylor & Francis, Boca Raton, FL (2007).

 

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