Abstract
Defect signal is always a problem that interferes with the operation of fibre board gluing control system. Complex problem analysis and solving are an important evolutionary direction of TRIZ. This research creates a defect diagnosis methodology by synthesizing the Theory of Inventive Problem Solving (TRIZ) and a Possibilistic C-Means (PCM) improved Support Vector Data Description (SVDD) method. Applied TRIZ to identify core root causes and confirm contradictions to classify the system defect. A complex problem solving model integrating SVDD and PCM in TRIZ frame is put forward, a case shows the application of this model.
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Yu, H., Chen, G., Xu, C., Fan, D. (2011). The Defect Detection of Fibre Boards Gluing System Based on TRIZ. In: Cavallucci, D., de Guio, R., Cascini, G. (eds) Building Innovation Pipelines through Computer-Aided Innovation. IFIP Advances in Information and Communication Technology, vol 355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22182-8_9
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DOI: https://doi.org/10.1007/978-3-642-22182-8_9
Publisher Name: Springer, Berlin, Heidelberg
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