Transactions of Materials and Heat Treatment

Title：Condition monitoring method for disc slitting machine based on shearing force characteristics

Authors： Zhu Yiwei Yan Qiusheng Lu Jiabin Gao Weiqiang Wu Yucheng

Unit： Guangdong University of Technology

KeyWords： disc slitting fault diagnosis intrinsic mode function hidden Markov model shearing force

ClassificationCode：TG385

year,vol(issue):pagenumber：2019,44(12):131-138

Abstract：

A three-dimensional force measuring system was designed to test
disc slitting of metal plate in real time online and provide a way and platform for analyzing the characteristics of the three-dimensional force of disc slitting for metal plate, and the testing process and the shearing force data were both stable and reliable. Then, for the problem of non-significant signal feature of disc slitting force and the difficulty in long-range online identification under malfunction, the fault diagnosis method on disc slitting machine was proposed based on the intrinsic mode function (IMF) energy moment and the hidden Markov model (HMM), and it used empirical mode decomposition (EMD) method to decompose vibration signals into multiple intrinsic mode functions (IMF), constructed the feature vectors by calculating energy moments of IMF as state feature information, and established a hidden Markov model to monitor and identify the malfunctions of the disc slitting machine. The experiment shows that the above method effectively identify the malfunctions such as circular jumping of disc cutter, machine tool idling and machine tool shutdown, and it detects malfunctions of the disc slitting machine.

Funds：

国家自然科学基金资助项目(51575112)；广东省科技计划项目(2016A050503043)；广州市南沙区科技计划项目(2015CX010)

朱奕玮(1991-)，男，博士研究生 E-mail：731557862@qq.com 通讯作者：阎秋生(1962-)，男，博士，教授 E-mail：qsyan@gdut.edu.cn

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