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• W1898891064 abstract "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." @default.
• W1898891064 created "2016-06-24" @default.
• W1898891064 creator A5068428294 @default.
• W1898891064 creator A5076400419 @default.
• W1898891064 date "2015-09-16" @default.
• W1898891064 modified "2023-09-27" @default.
• W1898891064 title "A New Process Monitoring Method Based on Waveform Signal by Using Recurrence Plot" @default.
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• W1898891064 doi "https://doi.org/10.3390/e17096379" @default.
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