Temperature Anomaly Monitoring Method for Toggle Mechanism of Die-cutting Machine Based on BP Neural Network

YU Chengzhuang; CHEN Guang; SUN Zhijie; HU Qinghua; WANG Guofeng; LYU Wei; TAN Ronghong; WEI Shuyuan

doi:10.19554/j.cnki.1001-3563.2026.11.024

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (11) : 240-247. DOI: 10.19554/j.cnki.1001-3563.2026.11.024

Automatic and Intelligent Technology

Temperature Anomaly Monitoring Method for Toggle Mechanism of Die-cutting Machine Based on BP Neural Network

YU Chengzhuang¹, CHEN Guang¹, SUN Zhijie^1*, HU Qinghua^2a, WANG Guofeng^2b, LYU Wei³, TAN Ronghong⁴, WEI Shuyuan¹

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Abstract

The work aims to propose a BP neural network-based method for monitoring temperature anomalies in toggle mechanisms to address the limitations of traditional temperature threshold monitoring, namely, poor adaptability under complex operating conditions and dynamic loads, and the inability to detect early-stage faults. Operational data from toggle mechanism of a die-cutting machine under diverse conditions were collected to construct a dataset of normal temperature variations. Leveraging the BP network's strong nonlinear fitting capability, a mapping model was established between temperature behaviors and operational parameters. The prediction error was used as an anomaly indicator to enable early fault detection. Experimental results showed that 99.39% of test samples exhibited prediction errors within ±1 °C. The resulting dynamic thresholds met the required accuracy for temperature prediction, and the model effectively identified anomalies, achieving a false positive rate of 0.17% and a false negative rate of 3.11%. This approach shifts temperature monitoring from static thresholding to dynamic behavioral modeling, enabling sensitive identification of early-stage faults under variable operating conditions, significantly enhancing system adaptability and robustness.

Key words

neural network / toggle mechanism / anomaly monitoring / die-cutting machine

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YU Chengzhuang, CHEN Guang, SUN Zhijie, HU Qinghua, WANG Guofeng, LYU Wei, TAN Ronghong, WEI Shuyuan. Temperature Anomaly Monitoring Method for Toggle Mechanism of Die-cutting Machine Based on BP Neural Network[J]. Packaging Engineering. 2026, 47(11): 240-247 https://doi.org/10.19554/j.cnki.1001-3563.2026.11.024

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