Online multichannel forging tonnage monitoring and fault pattern discrimination using principal curve

Journal of Manufacturing Science and Engineering

Volumn 128, Issue 4, 2006, Pages 944-950

  Kim, Jihyun ^a   Huang, Qiang ^b   Shi, Jianjun ^c   Chang, Tzyy Shuh ^d  

^a Korea University   (South Korea)

^b University of South Florida   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d OG Technologies Inc ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; CRANKSHAFTS; DATA REDUCTION; INFORMATION RETRIEVAL; REAL TIME SYSTEMS; SIGNAL PROCESSING;

FAULT PATTERN DISCRIMINATION; FORGING PROCESS MONITORING; MULTICHANNEL TONNAGE SIGNALS; ONLINE PROCESS MONITORING;

FORGING;

EID: 33751094040     PISSN: 10871357     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2193552     Document Type: Article

References (16)

1. Seem, J. E., and Knussmann, K. D., 1994, "Statistical Methods for On-Line Fault Detection in Press-Working Applications," Signature Technology Technical Report.
2. Robbins, T., 1995, "Signature-Based Process Control & SPC Trending Evaluate Press Performance," Metal Forming, 50, pp. 44-50.
3. Koh, C. K. H., Shi, J., and Williams, W., 1995, "Tonnage Signature Analysis Using the Orthogonal (Harr) Transforms," NAMRI/SME Transactions, 23, pp. 229-234.
4. Jin, J., and Shi, J., 2000, "Automatic Feature Extraction for In-Process Diagnostic Performance Improvement," I. Intell. Manuf., 12, pp. 267-268.
5. Kim, J., Zhou, S., Shi, J., and Chang, T., 2000, "Forging Process Monitoring Through Multivariate Analysis of Tonnage Signals," 24th Forging Industry Technical Conference, pp. 167-188.
6. Koh, C. K.-H., Shi, J., Black, J. M., and Ni, I., 1996, "Tonnage Signature Analysis for Stamping Process," Trans. NAMRC/SME, 24, pp. 193-198.
7. Jin, I., and Shi, I., 2002, "Diagnostic Feature Extraction From Stamping Tonnage Signals Based on Design of Experiment," ASME J. Manuf. Sci. Eng., 122. pp. 360-369.
8. Jin, J., and Shi, I., 1999, "Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets," Technometrics, 41, pp. 327-339.
9. Hastie, T., and Stuetzle. W., 1989, "Principal Curves," J. Am. Stat. Assoc., 84, pp. 502-516.
10. Banfield, I. D., and Raftery, A. E., 1992, "Ice Floe Identification in Satellite Images Using Mathematical Morphology and Clustering About Principal Curves," J. Am. Stat. Assoc., 87, pp. 7-16.
11. Kégl, B., and Krzyzak, A., 2002, "Piecewise Linear Skeletonization Using Principal Curves," IEEE Trans. Pattern Anal. Mach. Intell., 24, pp. 59-74.
12. Kramer, M. A., 1991, "Nonlinear Principal Component Analysis Using Autoassociative Neural Networks," AIChE J., 37, pp. 233-243.
13. Dong, D., and McAvoy, T. J., 1995, "Nonlinear Principal Component Analysis-Based on Principal Curves and Neural Networks," Comput. Chem. Eng., 20, pp. 65-78.
14. Wilson, D. J. H., Irwin, G. W., and Lightbody, G., 1999, "RBF Principal Manifolds for Process Monitoring," IEEE Trans. Neural Netw., 10, pp. 1424-1434.
15. Nomikos, P., and MacGregor, J., 1995, "Multivariate SPC Charts for Monitoring Batch Processes," Technometrics, 37, pp. 41-59.
16. do Carmo Manfredo, P., 1976, Differential Geometry of Curves and Surfaces, Prentice-Hall, Englewood, Cliffs, NJ.