Dynamic Quality Prediction of Manufacturing Process Based on Extreme Learning Machine

Abstract:

In many manufacturing processes, the abnormal changes of some key process parameters could result in various categories of faulty products. In this paper, a machine learning approach is developed for dynamic quality prediction of the manufacturing processes. In the proposed model, an extreme learning machine is developed for monitoring the manufacturing process and recognizing faulty quality categories of the products being produced. The proposed model is successfully applied to a japanning-line, which improves the product quality and saves manufacturing cost.

• Periodical: Advanced Materials Research (Volumes 889-890)
• Pages: 1231-1235
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.889-890.1231
• Online since: February 2014
• Authors: Jun Guo*, Yi Bing Li, Bai Gang Du
• Keywords: Extreme Learning Machine, Process Control, Quality Prediction

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