Research on Equipment Fault Identification Method and System based on Big Data Correlation Analysis

Dongxu Yang; Ran Huo; Jingquan Jia; Linxuan He

doi:10.54097/pypyfc71

Authors

Dongxu Yang
Ran Huo
Jingquan Jia
Linxuan He

DOI:

https://doi.org/10.54097/pypyfc71

Keywords:

Big Data, Correlation Analysis, Equipment Fault Identification

Abstract

With the rapid progress in the industrial field, equipment fault identification plays a crucial role in improving production efficiency and reducing operating costs. This article proposes a specialized and efficient equipment fault identification method and system based on big data correlation analysis. This system achieves precise identification of equipment faults by finely collecting and preprocessing equipment operation data, deeply exploring potential association rules between data. The method proposed in this article not only improves the accuracy of fault recognition, but also significantly enhances recognition efficiency, providing strong support for intelligent and refined management in the industrial field.

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References

Cheng Xueqi, Jin Xiaolong, Wang Yuanzhuo, et al. Overview of Big Data Systems and Analysis Technology [J]. Journal of Software, 2014,25 (9): 1889-1908.

Zhao Li Design and Implementation of Vehicle Monitoring System Based on Big Data Processing [D]. Beijing: Beijing Jiaotong University, 2019.

Zeng Xianyu Optimization and Implementation of Vehicle Monitoring System Based on Big Data Technology [D]. Changchun: Jilin University, 2016.

Li Guojie, Cheng Xueqi. Big data research: a major strategic area for future science and technology and economic and social development - research status and scientific thinking of big data [J]. Journal of the Chinese Academy of Sciences, 2012, 27 (6): 647-657.

Zeng Lei. Review of Big Data Research [J]. Software Guide, 2015,14 (8): 1-2.

Fu Yan, Li Hongru. Research on the Digital Transformation System Architecture of Vehicle Enterprises [J]. Automotive Digest, 2022 (7): 20-26.

Zhang Wenjie, Li Changlong, Hong Yu, et al. The Application of Remote Diagnosis System Based on Big Data Technology in Automobiles [J]. Automotive Digest, 2022 (4): 30-33.

Chen Liang Research on Electric Vehicle Battery Monitoring System Based on Cloud Platform [D]. Shanghai: Shanghai University of Engineering and Technology, 2017.

Wang Ruwei The Application of Java Programming Language in Big Data Development [J]. Electronic Technology, 2022, 51 (1): 160-161.

Guo Yang, Chang Yingxian. On the Application of Java Language in Computer Software Development [J]. Digital Communication World, 2022 (1): 88-90+94.

Zhang Jiaqi Design and Implementation of a Vehicle Test Management Information System Based on Java Web [D]. Beijing: Beijing Jiaotong University, 2016.

Lu Shaobing. Research on Hybrid Language Programming and Its Implementation Based on Python [J]. Science and Technology Information, 2022, 20 (14): 31-33.

Zhang Wei. Implementation of Vehicle Detection Algorithm Based on Python [J]. Mechanical Management Development, 2019,34 (12): 258-261.

Cheng Yi, Cui Jiqiang, Wang Ruiying. Analysis of heavy-duty dump truck operating conditions based on Python [J]. Automotive Practical Technology, 2019 (20): 58-60.

Zhao Zhisheng, Zhang Xiao, Ma Teng Research and Implementation of Java and Python Integration Scheme [J]. Network Security Technology and Application, 2015 (1): 146+148.

Zhang Chunguang Design and Implementation of a Comprehensive Quality Assessment System for Java and Python Mixed Source Software [D]. Nanjing: Southeast University, 2021.

Huang Jingxuan, Liu Kangjun, Yun Chentai, et al. Design and Implementation of an Assisted Bid Evaluation System Based on Java and Python [J]. Industrial Control Computer, 2021,34 (3): 18-20.

Shen Ao, Wang Lei, Wang Xidian, etc Research on the Application of Jython Technology in Network Management Support Systems [J]. Telecommunications Engineering Technology and Standardization, 2013,26 (5): 52-56.

Tan Yi, Wang Kai, Zhou Lanjiang. Rapid development of web applications using Jython [J]. Computer Knowledge and Technology, 2006 (35): 50+72.

Zeng Hao Research on the Application of Python in Other Languages [J]. Popular Technology, 2012,14 (7): 13-14+19.

Wang Wenyang, Chen Zheng, Chen Xiangwei. Design of New Energy Vehicle Monitoring Platform Software [J]. Equipment Manufacturing Technology, 2014 (12): 46-48.

Zhang Yu, Che Xiaobo, Wang Yong, et al. Optimization Design of Remote Monitoring System for New Energy Vehicles [J]. Modern Electronic Technology, 2019,42 (3): 96-100.

Aoyama K I. Universal Traffic Management System (UTMS) in Japan [C]//Proceedings of VNIS'94 1994 Vehicle Navigation and Information Systems Conference, Yokohama, Japan: IEEE, 1994.

Ostrowski K, Birman K, Dolev D. Extensible Architecture for High Performance, Scalable, Reliable Publish Subscription Events and Notification [J] International Journal of Web Services Research, 2007, 4 (4): 18-58.

YANG J. Web service componentization [J] Communications of the ACM, 2003, 46 (10): 35-40.