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A New Process Monitoring Method Based on Waveform Signal by Using Recurrence Plot

National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China
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Academic Editors: Badong Chen and Jose C. Principe
Entropy 2015, 17(9), 6379-6396; https://doi.org/10.3390/e17096379
Received: 29 July 2015 / Revised: 6 September 2015 / Accepted: 11 September 2015 / Published: 16 September 2015
(This article belongs to the Special Issue Information Theoretic Learning)
Process monitoring is an important research problem in numerous areas. This paper proposes a novel process monitoring scheme by integrating the recurrence plot (RP) method and the control chart technique. Recently, the RP method has emerged as an effective tool to analyze waveform signals. However, unlike the existing RP methods that employ recurrence quantification analysis (RQA) to quantify the recurrence plot by a few summary statistics; we propose new concepts of template recurrence plots and continuous-scale recurrence plots to characterize the waveform signals. A new feature extraction method is developed based on continuous-scale recurrence plot. Then, a monitoring statistic based on the top- approach is constructed from the continuous-scale recurrence plot. Finally, a bootstrap control chart is built to detect the signal changes based on the constructed monitoring statistics. The comprehensive simulation studies show that the proposed monitoring scheme outperforms other RQA-based control charts. In addition, a real case study of progressive stamping processes is implemented to further evaluate the performance of the proposed scheme for process monitoring. View Full-Text
Keywords: process monitoring; recurrence plot; bootstrap; control chart process monitoring; recurrence plot; bootstrap; control chart
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Zhou, C.; Zhang, W. A New Process Monitoring Method Based on Waveform Signal by Using Recurrence Plot. Entropy 2015, 17, 6379-6396.

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