MIGUEL J. BAGAJEWICZ

100 E. Boyd St., T-335, Norman, OK 73019-0628, (405)325-5458, bagajewicz@ou.edu



ARTICLES ON DATA RECONCILIATION & PLANT MONITORING
If one particular link is not available, e-mail me.


             Books
    1. Bagajewicz M. Smart Process Plants: Software and Hardware for Accurate Data and Profitable Operations. McGraw Hill. (ISBN:978-0-07-160471) McGraw Hill (2010).
    2. Bagajewicz M. Process Plant Instrumentation. Design and Upgrade (ISBN:1-56676-998-1), CRC Press (2000).

           Handbook Chapters
    1. Bagajewicz M. (with D. K. Rollins, Iowa State University) Instrument Engineers' Handbook, 3rd edition. CRC Press (2002).  Chapter on Data Reconciliation. 
    2. Bagajewicz M. (with D. K. Rollins, Iowa State University) Instrument Engineers' Handbook, 4th edition. CRC Press (2010-To appear).  Chapter on Data Reconciliation. 

           Review Articles
    1. Last Sent to Publisher Bagajewicz M. Data Reconciliation and Instrumentation Upgrade. Overview and Challenges. Invited paper and Keynote Presentation. FOCAPO 2003. (Foundations of Computer Aided Process Operations) Coral Springs, FL, USA, January (2003).
    2. Bagajewicz M. A Brief Review of Recent Developments in Data Reconciliation and Gross Error Detection/Estimation. Latin American Applied Research. Vol. 30, No 4, pp. 335-342, (2000).

           Articles
    1. DuyQuang Nguyen and M. Bagajewicz. On the Impact of Sensor Maintenance Policies on Stochastic-Based Accuracy. Computers and Chemical Engineering,  33, 9, pp. 1491-1498   (2009).
    2. Bagajewicz  M. and DuyQuang Nguyen. Stochastic-Based Accuracy of Data Reconciliation Estimators for Linear Systems. Computers and Chemical Engineering, Vol. 32, 6, 1257–1269, (2008).
    3. Bagajewicz M. Value of Accuracy in Linear Systems.AIChE Journal. Vol 52, No 2., pp. 638-650 (2006). (Supporting File: Derivation of equations.)
    4. Nguyen Thanh D. Q., Kitipat Siemanond, and M. Bagajewicz. On the determination of downside financial loss of instrumentation networks in the presence of gross errors. AIChE Journal. Vol 52, No 11, pp. 3825, 3841, (2006).
    5. Bagajewicz M.  On the Definition of Software Accuracy in Redundant Measurement Systems. AIChE Journal. Vol 51, No 4., pp. 1201-1206 (2005).
    6. Bagajewicz M., M. Markowski and A. Budek. Economic Value of Precision in the Monitoring of Linear Systems. AIChE Journal. Vol 51, No 4., pp. 1304-1309 (2005).
    7. Nguyen Thanh D.Q., Siemanond K., Bagajewicz M.J. On the Determination of Downside Financial Loss of Instrumentation Networks in the Presence of Gross Errors. Chemical Engineering Transactions. Vol 7. AIDIC Servizi S.r.l. (2005).
    8. Bagajewicz M. On a New Definition of a Stochastic-based Accuracy Concept of Data Reconciliation-Based Estimators. Computer Aided Chemical Engineering, 20, pp. 1135-1140 (2005).
    9. Valentine J. and M. Bagajewicz. Measurement Economics. Hydrocarbon Engineering, January (2004).
    10. Bagajewicz M. and E. Cabrera. Data Reconciliation in Gas Pipeline Systems. Industrial and Engineering Chemistry Research.  Vol. 42, No 22, pp. 5596-5606 (2003).
    11. Bagajewicz M. and Q. Jiang. A Mixed Integer Linear Programming-Based Technique for the Estimation of Multiple Gross Errors in Process Measurements. Chemical Engineering Communications. Vol. 177, pp. 139-155, (2000).
    12. Bagajewicz M. and Q. Jiang. Comparison of Steady State and Integral Dynamic Data Reconciliation. Computers & Chemical Engineering. Vol. 24, No 11, pp. 2367-2518 (2000).
    13. Bagajewicz M., Jiang and M. Sánchez. Performance Evaluation of PCA Tests in Serial Elimination Strategies for Gross Error Identification. Chemical Engineering Communications. Vol. 183, pp. 119-139 (2000).
    14. Bagajewicz M., Q. Jiang and M. Sánchez. Removing Singularities and Assessing Uncertainties in Two Efficient Gross Error Collective Compensation Methods. Chemical Engineering Communications. Vol. 178, pp. 1-20 (2000).
    15. Bagajewicz M., Q. Jiang and M. Sánchez. Performance Evaluation of PCA Tests for Multiple Gross Error Identification. Computers and Chemical Engineering. Vol. 23, Supp., pp S589-S592 (1999).
    16. Jiang Q., M. Sánchez and M. Bagajewicz. On the Performance of Principal Component Analysis in Multiple Gross Error Identification. Ind. & Eng. Chem. Research, 38, 5, pp. 2005-2012 (1999).
    17. Sánchez, M., J. Romagnoli, Q., Jiang and M. Bagajewicz. Simultaneous Estimation of Biases and Leaks in Process Plants. Computers and Chemical Engineering. 23, 7, 841-858 (1999).
    18. Jiang Q. and M.  Bagajewicz. On a Strategy of Serial Identification with Collective Compensation for Multiple Gross Error Estimation in Linear Data Reconciliation. Ind. & Eng. Chem. Research, 38, 5, 2119-2128 (1999).
    19. Bagajewicz M. and Q. Jiang. One Step Collective Gross Error Identification and Compensation in Linear Dynamic and Steady State Data Reconciliation. AIChE Symposium Series, Vol. 94, Foundations of Computer-Aided Process Operations, (1998).
    20. Bagajewicz M. and Q. Jiang. Gross Error Modeling and Detection in Plant Linear Dynamic Reconciliation.  Computers and Chemical Engineering, 22, 12, 1789-1810 (1998).
    21. Jiang Q. and M. Bagajewicz. Integral Approach to Dynamic Data Reconciliation. AIChE Journal.  Vol. 43, No. 10, p. 2546, October (1997).
    22. Bagajewicz M. On the Probability Distribution and Reconciliation of Process Plant Data.  Comp. & Chem. Eng., 20, No 6/7, p 813 (1996).


      23. Peer Reviewed Conference Proceedings

    23. Martinez D. E., J. C. Bruno, M. Bagajewicz, A. Coronas. Performance analysis of absorption chillers using data reconciliation. Proceedings of the ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis,  ESDA2010-24156, July 2010, Istanbul, Turkey (2010).
    24. Nguyen, D., M. Bagajewicz. Cost Benefit Analysis of Instrument Maintenance Policies and Data Reconciliation related to Plant Accuracy. Proceedings of the XXII Interamerican Congress of Chemical Engineering, Buenos Aires, Argentina, Sept.(2006).
    25. Bagajewicz, M. Consider Accuracy as a Robustness Measure in Instrumentation Design. Proceedings of  the Topical Conference on Sensors. AIChE Annual Meeting, San Francisco, November (2003).
    26. Bagajewicz M., Q. Jiang and M. Sánchez.  Which Method Is Best For Automatic Gross Error Detection And Estimation?  Proceedings of the Process Systems Engineering Topical Conference. Houston, (1999).
    27. Bagajewicz M. and Q. Jiang. Serial Identification with Collective Estimation of Gross Errors and Leaks in Process Plant Measurement. Proceedings of 3rd IFAC Workshop on on-line Fault Detection and Supervision in the Chemical Process Industries, Lyon, France, (1998).
    28. Bagajewicz M. and S. Mullick. Reconciliation of Plant Data. Applications and Future Trends. Proceedings of the First International Plant Operations and Design Conference. Houston, Texas.  (March) (1995).
    29. Bagajewicz M. On the Probability Distribution of Process Plant data and their Impact on Data Reconciliation Techniques. Proceedings of the Fifth International Symposium on Process System Engineering.  Kyongju, Korea, (May 1994).

    .