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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Turbines

Support vector machines

Autoregressive models

Education and training

Feature extraction

Mathematical optimization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years