Research on fault diagnosis and pre-maintenance of tobacco machine based on fault tree and support vector machine model

Zhao Liu; Aimin Wu; Tao Wu; Xuegang Guo; Xiuwei Ma; Xin Gao

doi:10.1117/12.3015583

15 March 2024 Research on fault diagnosis and pre-maintenance of tobacco machine based on fault tree and support vector machine model

Zhao Liu, Aimin Wu, Tao Wu, Xuegang Guo, Xiuwei Ma, Xin Gao

Author Affiliations +

Proceedings Volume 13079, Third International Conference on Testing Technology and Automation Engineering (TTAE 2023); 130790R (2024) https://doi.org/10.1117/12.3015583
Event: 3rd International Conference of Testing Technology and Automation Engineering (TTAE 2023), 2023, Xi-an, China

Abstract

The development of intelligent detection system makes the running state of cigarette equipment continuously known, which provides a basis for fault detection and maintenance of cigarette enterprises. In order to improve production and reduce fault consumption, it is urgent to be able to detect the fault of the smoke machine in time or even to detect the fault of the smoke machine in advance, and to give the corresponding reliable solution in time, as well as the fault type, fault equipment and other information, reduce the time for workers to retrieve the source of equipment failure and think about the solution, and greatly reduce the huge loss caused by the failure of the smoke machine. Therefore, a method of fault diagnosis and pre-maintenance of tobacco machine is proposed, which is based on fault tree support vector machine state evaluation method for pre-maintenance and normal operation and maintenance of tobacco machine. This method can detect the machine fault in time and prevent the possible machine fault. According to the results, the fault type, solution and other information can be fed back to realize the pre-maintenance and normal operation and maintenance of the cigarette machine, which has guiding significance and reference value for the production and maintenance of cigarettes.

Citation Download Citation

Zhao Liu, Aimin Wu, Tao Wu, Xuegang Guo, Xiuwei Ma, and Xin Gao "Research on fault diagnosis and pre-maintenance of tobacco machine based on fault tree and support vector machine model", Proc. SPIE 13079, Third International Conference on Testing Technology and Automation Engineering (TTAE 2023), 130790R (15 March 2024); https://doi.org/10.1117/12.3015583

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KEYWORDS

Data modeling

Turbines

Support vector machines

Autoregressive models

Education and training

Feature extraction

Mathematical optimization

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