Soft sensor modeling method for freezing point of diesel fuel based on PCA and LS-SVM

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 9152-9156

  Wang, Xiaohong ^a,b  

^a JIUJIANG UNIVERSITY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Freezing point; Least squares support vector machines (LS SVM); Principal component analysis (PCA); Soft sensor

Indexed keywords

CURVE FITTING; DIESEL FUELS; DIESEL LOCOMOTIVES; FINANCIAL DATA PROCESSING; FOOD PROCESSING; FREEZING; INDUSTRIAL ENGINEERING; INFRARED DEVICES; INFRARED SPECTROSCOPY; INTELLIGENT CONTROL; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; RESEARCH AIRCRAFT; SENSOR NETWORKS; SENSORS; SUPPORT VECTOR MACHINES; TWO PHASE FLOW;

BP NEURAL NETWORKS; CONTROL AND AUTOMATION; FREEZING POINT; FREEZING POINTS; LEAST SQUARES SUPPORT VECTOR MACHINES (LS-SVM); LEAST-SQUARES SUPPORT VECTOR MACHINES; LINEAR CORRELATIONS; MODEL PERFORMANCE; NEAR-INFRARED SPECTROMETRY; NOVEL METHODS; ON-LINE MEASUREMENTS; PRINCIPAL COMPONENT ANALYSIS (PCA); SOFT SENSOR; SOFT SENSORS; SOFT-SENSOR MODELING; SVM REGRESSION; TRAINING SPEED;

PRINCIPAL COMPONENT ANALYSIS;

EID: 52149096271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4594378     Document Type: Conference Paper

References (12)

1. V.N. Vapnik, The nature of statistical learning theory, New York: Spring-Verlag, 1999.
2. V.N. Vapnik, "An overview of statistical learning theory," IEEE Transaction Neural Networks, vol. 10, no. 5, pp. 988-999, 1999.
3. Chinese source
4. Chinese source
5. J.A.K. Suykens and J. Vandewalle, "Least squares support vector machine classifier," Neural Processing Letters, vol. 9, no. 3, pp. 293-300, 1999.
6. J.A.K Suykens and J. Vandewalle, "Sparse least squares support vector machine classifiers," European symposium on artificial neural networks, Bruges Belgium, April 2000, pp. 37-42.
7. Chinese source
8. M. Kim, Y.H. Lee and C. Han. "Real-time classification of petroleum products using near-infrared spectra," Computers and Chemical Engineering, no. 24, pp. 513-517, 2000.
9. H.Q. Wang, Z.H. Song and P. Li. "Improved PCA with optimized sensor locations for process monitoring and fault diagnosis," Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, 2000, pp. 4353-4358.
10. H.Q. Wang, Z.H. Song and P. Li. "Fault Detection Behavior and Performance Analysis of Principal Component Analysis based Process Monitoring Methods," Industrial & Engineering Chemistry Research, vol. 41, no. 10, pp. 2455-2464, 2002.
11. Chinese source
12. Chinese source