Fault diagnosis method of centrifugal pump driven by digital twin

被引：0

作者：

Zhang S. ^{[1
,2
]}

Yang L. ^{[1
]}

Cheng D. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang

[2] Jiangsu Provincial Key Laboratory of Advanced Manufacturing of Machinery and Equipment, Zhenjiang

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 05期

关键词：

centrifugal pump; deep learning; digital twin; fault diagnosis;

D O I：

10.13196/j.cims.2023.05.005

中图分类号：

学科分类号：

摘要：

Digital twin technology is not only the core of realizing information and physical integration, but also the key to realizing digital fault diagnosis. To realize real-time mapping, real-time fault prediction and fault information feedback in time of physical space and information space, the digital twin-driven fault diagnosis method for centrifugal pump units was proposed. The digital twin technology was used to construct the digital twin mapping model of centrifugal pump unit. Based on the digital twin mapping model, the fault prediction was realized in real time by the data-driven fault diagnosis method, the fault result verification method of model simulation was used to complete the fault result verification, and the verification result was used as the condition for digital twin model correction and deep learning model adjustment. The fault diagnosis system was developed with the help of Unity 3D platform, and the feasibility of the system was verified by three working conditions. © 2023 CIMS. All rights reserved.

引用

页码：1462 / 1470

页数：8

共 15 条

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