Application of Intelligent Fault Identification and Optimization Algorithm in Machinery Manufacturing and Automation
Author: 
Fan WangAuthors Info & Claims
Fan WangAuthors Info & ClaimsPages 1611 - 1615
Abstract
At present, market competition is becoming more and more fierce, and various competitive pressures on machinery manufacturing are constantly increasing. Therefore, enterprises need to continuously enhance their own machinery manufacturing capabilities. The application of optimization algorithms based on intelligent fault recognition in the automation of machinery manufacturing)MM( can improve the level of automation and enable enterprises to adapt to the market environment in the information age and stand out from the competition in the industry. This article introduces the related applications of MM automation technology, puts forward the current development trend of machinery manufacturing automation, uses intelligent fault identification optimization algorithms (IFIOA) to optimize MM technology, and lists several examples of the optimization algorithm in MM and its automation applications. It is expected that the optimized automation technology can play a role in the machinery manufacturing industry(MMI).
References
[1]
Chen R, Li J, Shang T, Intelligent fault diagnosis of gearbox based on improved fireworks algorithm and probabilistic neural network[J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(17):192-198.
[2]
Wang B, Zhang X, Fuyang A, Optimization of Support Vector Machine and Its Application in Intelligent Fault Diagnosis[J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2017, 37(3):547-552.
[3]
Yi Jiangping. The Exploration of Education and Teaching Reform in Mechanical Manufacturing and Automation Major of Higher Vocational Schools[J]. Vocational Technology, 2017, 016(004):71-72.
[4]
Yin Xiaohui. Application of electromechanical automation in mechanical manufacturing process[J]. Heilongjiang Science, 2018, 009(016):142-143.
[5]
Thoben K D, Wiesner S, Wuest T. "Industrie 4.0" and Smart Manufacturing – A Review of Research Issues and Application Examples[J]. International Journal of Automation Technology, 2017, 11(1):4-19.
[6]
Wang Cong. Discussion on the application of automation technology in mechanical manufacturing[J]. Heilongjiang Science, 2017, 008(008):78-79.
[7]
Farid A M. Measures of reconfigurability and its key characteristics in intelligent manufacturing systems[J]. Journal of Intelligent Manufacturing, 2017, 28(1):1-17.
[8]
Han Bo. Application of mechanical automation in mechanical manufacturing[J]. Heilongjiang Science, 2018, 009(018):78-79.
[9]
Lu Di. Study on the Application of Mechanical Automation in Mechanical Manufacturing[J]. Hunan Agricultural Machinery, 2017, 044(004):19,21.
[10]
Chen Zhenjiang. Problems and Countermeasures in mechanical automation design and manufacturing[J]. Modern manufacturing technology and equipment, 2019, 000(004):220-221.
[11]
Yao Xuefei. Study on the Development Direction of Mechanical Design, Manufacturing and Automation in China[J]. Value Engineering, 2018, 037(029):210-211.
[12]
Zhou Songyan. Analysis of Mechanical Design, Manufacturing and Automation in the Information Age[J]. Digital Technology and Application, 2018, 036(010):197-198.
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Published In
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Copyright © 2021 ACM.
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Association for Computing Machinery
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Published: 14 March 2022
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AIAM2021
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 23 - 25, 2021
Manchester, United Kingdom
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