Adaptive agent-based system for process fault diagnosis

Industrial and Engineering Chemistry Research

Volumn 50, Issue 15, 2011, Pages 9138-9155

  Perk, Sinem ^a   Teymour, Fouad ^a   Cinar, Ali ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED; AGENT MANAGEMENTS; AGENT-BASED FRAMEWORK; AGENT-BASED SYSTEMS; CLASSIFICATION RESULTS; CLASSIFICATION TECHNIQUE; CONTINUOUS CHEMICAL PROCESS; CONTINUOUS STIRRED TANK REACTOR; CONTRIBUTION PLOTS; DIAGNOSIS DECISION; DIAGNOSIS TOOLS; FAULT SCENARIOS; FAULT TYPES; FISHER'S DISCRIMINANT; PARTIAL LEAST SQUARES; PROCESS FAULTS; SUPERVISION SYSTEMS;

DISCRIMINANT ANALYSIS;

EID: 79960874749     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie102058d     Document Type: Article

References (49)

1. Jackson, J. E. Principal Components and Factor Analysis: Part I-Principal Components J. Qual. Technol. 1980, 12, 201-213
2. MacGregor, J. F.; Kourti, T. Statistical Process Control of Multivariable Processes Control Eng. Pract. 1995, 3, 403-414
3. Kourti, T.; MacGregor, J. F. Process Analysis, Monitoring and Diagnosis Using Multivariate Projection Methods Chemom. Intell. Lab. 1995, 28, 3-21
4. Geladi, P.; Kowalski, B. R. Partial Least Squares Regression: A Tutorial Anal. Chim. Acta 1986, 185, 1-17
5. Hoskuldsson, A. A Combined Theory for PCA and PLS J. Chemom. 1995, 9, 91-123
6. Hoskuldsson, A. PLS Regression Methods J. Chemom. 1988, 2, 211-228
7. Doymaz, F.; Romagnoli, J. A.; Palazoglu, A. Orthogonal Nonlinear Partial Least Squares Regression Ind. Eng. Chem. Res. 2003, 42, 5836-5849 (Pubitemid 37363108)
8. Qin, S. J.; Valle, S.; Piovoso, M. J. On Unifying Multiblock Analysis With Application to Decentralized Process Monitoring J. Chemom. 2001, 15, 715-742 (Pubitemid 33608039)
9. MacGregor, J. F.; Jaeckle, C.; Kiparissides, C. Process Monitoring and Diagnosis by Multi-Block PLS Methods AIChE J. 1994, 40, 826-838
10. Westerhuis, J. A.; Kourti, T.; MacGregor, J. F. Analysis of Multiblock and Hierarchical PCA and PLS Models J. Chemom. 1998, 12, 301-321 (Pubitemid 128480027)
11. Wold, S.; Kettaneh, N.; Tjessem, K. Hierarchical Multiblock PLS and PC Models for Easier Model Interpretation and as an Alternative to Variable Selection J. Chemom. 1996, 10, 463-482 (Pubitemid 126465332)
12. Russell, E. L.; Chiang, L. H.; Braatz, R. D. Fault Detection in Industrial Processes Using Canonical Variate Analysis and Dynamic Principal Component Analysis Chemom. Intell. Lab. 2000, 51, 81-93 (Pubitemid 30251932)
13. Miller, P.; Swanson, R. E. Contribution Plots: A Missing Link in Multivariate Quality Control Appl. Math. Comput. Sci. 1998, 8, 775-792
14. Westerhuis, J. A.; Gurden, S. P.; Smilde, A. K. Generalized Contribution Plots in Multivariable Statistical Process Monitoring Chemom. Intell. Lab. 2000, 51, 95-114 (Pubitemid 30251933)
15. Alcala, C.; Qin, J. Reconstruction-based Contribution Analysis for Process Monitoring Automatica 2009, 45, 1593-1600
16. Conlin, A. K.; Martin, E. B.; Morris, A. J. Confidence Limits for Contribution Plots J. Chemom. 2000, 14, 725-736
17. Qin, S. J.; Li, W. Detection and Identification of Faulty Sensors in Dynamic Processes AIChE J. 2001, 47, 1581-1593 (Pubitemid 36858841)
18. Kosebalaban, F.; Cinar, A. Integration of Multivariable SPM and FDD by Parity Space Technique for a Food Pasteurization Process Comput. Chem. Eng. 2001, 25, 473-491 (Pubitemid 32249441)
19. Negiz, A.; Cinar, A. Statistical Monitoring of Multivariable Dynamic Processes with State Space Models AIChE J. 1997, 43, 2002-2020
20. Dunia, R.; Qin, S. J. Joint Diagnosis of Process and Sensor Faults Using Principal Component Analysis Control Eng. Pract. 1998, 6, 457-469 (Pubitemid 28445716)
21. Raich, A.; Cinar, A. Statistical Process Monitoring and Disturbance Diagnosis in Multivariable Continuous Processes AIChE J. 1996, 42, 995-1009 (Pubitemid 126468139)
22. Raich, A.; Cinar, A. Diagnosis of Process Disturbances by Statistical Distance and Angle Measures Comput. Chem. Eng. 1997, 21, 661-673
23. Duda, R. O.; Hart, P. Pattern Classification and Scene Analysis; Wiley: New York, 1973.
24. Chiang, L. H.; Kotanchek, M. E.; Kordon, A. K. Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines Comput. Chem. Eng. 2004, 28, 1389-1401 (Pubitemid 38609090)
25. Chiang, L. H.; Russell, E. L.; Braatz, R. D. Fault Diagnosis in Chemical Processes Using Fisher Discriminant Analysis, Discriminant Partial Least Squares, and Principal Component Analysis Chemom. Intell. Lab. 2000, 50, 243-252 (Pubitemid 30136027)
26. Doymaz, F.; Bakhtazad, A.; Romagnoli, J. A.; Palazoglu, A. Wavelet-Based Robust Filtering of Process Data Comput. Chem. Eng. 2001, 25, 1549-1559
27. Lu, N.; Wang, F.; Gao, F. Combination Method of Principal Component andWavelet Analysis for Multivariate Process Monitoring and Fault Diagnosis Ind. Eng. Chem. Res. 2003, 42, 4198-4207 (Pubitemid 37048313)
28. Venkatasubramanian, V.; Chan, K. A Neural Network Methodology for Process Fault Diagnosis AIChE J. 1989, 35, 1993-2002 (Pubitemid 20623668)
29. Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S.; Yin, K. A Review of Process Fault Detection and Diagnosis: Part III: Process History Based Methods Comput. Chem. Eng. 2003, 27, 327-346 (Pubitemid 36285964)
30. Wong, J.; McDonald, K.; Palazoglu, A. Classification of Abnormal Plant Operation Using Multiple Process Variable Trends J. Process Control 2001, 11, 409-418 (Pubitemid 32408865)
31. Ng, Y. S.; Srinivasan, R. Multi-agent Based Collaborative Fault Detection and Identification in Chemical Processes. Eng. Appl. Artif. Intell. 2010, 23, 934-949 (DOI: 10.1016/j.engappai.2010.01.026).
32. Doymaz, F.; Romagnoli, J. A.; Palazoglu, A. A Strategy for Detection and Isolation of Sensor Failures and Process Upsets Chemom. Intell. Lab. 2001, 55, 109-123 (Pubitemid 32143786)
33. Doymaz, F.; Chen, J.; Romagnoli, J. A.; Palazoglu, A. A Robust Strategy for Real-Time Process Monitoring J. Process Control 2001, 13, 343-359 (Pubitemid 32408860)
34. Perk, S.; Teymour, F.; Cinar, A. Statistical Monitoring of Complex Chemical Processes with Agent-Based Systems. Ind. Eng. Chem. Res. 2010, 49, 5080-5093 (DOI: 10.1021/ie901368j).
35. Leung, D.; Romagnoli, J. Dynamic Probabilistic Model-Based Expert System for Fault Diagnosis Comput. Chem. Eng. 2000, 24, 2473-2492
36. Dash, S.; Venkatasubramanian, V. Challenges in the industrial applications of fault diagnostic systems Comput. Chem. Eng. 2000, 24, 785-791 (Pubitemid 30608316)
37. Leung, D.; Romagnoli, J. An Integration Mechanism for Multivariate Knowledge-Based Fault Diagnosis J. Process Control 2002, 12, 15-26 (Pubitemid 33110456)
38. Rao, M.; Yang, H. Integrated Distributed Intelligent System Architecture for Incidents Monitoring and Diagnosis Comput. Ind. 1998, 37, 143-151 (Pubitemid 128413617)
39. Yoon, S.; MacGregor, J. F. Fault Diagnosis with Multivariate Statistical Models Part I: Using Steady State Fault Signatures AIChE J. 2001, 47, 1581-1593
40. Tatara, E.; Cinar, A. An Intelligent System for Multivariable Statistical Process Monitoring and Diagnosis ISA Trans. 2002, 41, 255-270
41. Undey, C.; Tatara, E.; Cinar, A. Real-Time Batch Process Supervision by Integrated Knowledge-Based Systems and Multivariate Statistical Methods Eng. Appl. Artif. Intell. 2003, 16, 555-566
42. Undey, C.; Ertunc, S.; Tatara, E.; Teymour, F.; Cinar, A. Batch Process Monitoring and Quality Prediction for Batch/Fed-Batch Cultivations J. Biotechnol. 2004, 108, 61-77 (Pubitemid 38115141)
43. Norvilas, A.; Negiz, A.; Cinar, A. Intelligent Process Monitoring by Interfacing Knowledge-Based Systems and Multivariate Statistical Monitoring J. Process Control 2000, 10, 341-350 (Pubitemid 30585519)
44. Johnson, R. A.; Wichern, D. W. Applied Multivariate Statistical Analysis; Prentice Hall: Englewood Cliffs, NJ, 1998.
45. Nomikos, P. Detection and Diagnosis of Abnormal Batch Operations Based on Multiway Principal Component Analysis ISA Trans 1996, 35, 147-168
46. North, M. J.; Howe, T. R.; Collier, N. T.; Vos, J. R. Repast Simphony Runtime System, 2005.
47. Tatara, E.; Birol, I.; Cinar, A.; Teymour, F. Measuring Complexity in Reactor Networks with Cubic Autocatalytic Reactions Ind. Eng. Chem. Res. 2005, 44, 2781-2791 (Pubitemid 40622270)
48. Tatara, E.; Teymour, F.; Cinar, A. Control of Complex Distributed Systems with Distributed Intelligent Agents J. Process Control 2007, 17, 415-427 (Pubitemid 46386419)
49. Tatara, E.; North, M.; Hood, C.; Teymour, F.; Cinar, A. Agent Based Control of Spatially Distributed Chemical Reactor Networks. In Engineering Self-Organising Systems; Lecture Notes in Computer Science, Springer: Berlin/Heidelberg, 2006; Vol. 3910.