Fault diagnosis of electrical equipment based on virtual simulation technology

被引:0
作者
Chang, Jing [1 ]
Li, Huiqin [1 ]
Xiao, Na [1 ]
Singh, Pavitar Parkash [2 ]
Vats, Prashant [3 ]
Reddy, Chinthalacheruvu Venkata Krishna [4 ]
机构
[1] Huanghe Sci & Technol Coll, Engn Dept, Zhengzhou 450063, Henan, Peoples R China
[2] Lovely Profess Univ, Dept Management, Phagwara, Punjab, India
[3] Manipal Univ, Dept CSE, Jaipur, Rajasthan, India
[4] Chaitanya Bharathi Inst Technol, Dept Elect & Elect Engn, Gandipet, Telangana, India
来源
NONLINEAR ENGINEERING - MODELING AND APPLICATION | 2023年 / 12卷 / 01期
关键词
virtual reality; subway train; electrical system; simulation; NUMERICAL-SIMULATION; SYSTEM;
D O I
10.1515/nleng-2022-0334
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In order to efficiently and accurately diagnose train electrical faults, we propose a fault diagnosis method for electrical equipment based on virtual simulation technology. First, Creo software was used to build a subway train model. Then, 3DMAX software was used to make animation and demonstrate the working principle and action process of the train electrical system. Finally, using Unity 3D software, a human-computer interaction mechanism was established, achieving presence and realism. This system realizes the functions of knowledge learning, student assessment, principal display, and troubleshooting of the electrical system of subway trains and is compared with the method of manual diagnosis. Experimental results show that in the designed fault diagnosis system, the detection time for various types of faults is shorter than 30 s, whereas the diagnosis time of the manual diagnosis method is 30-52 s. It shows that the electrical equipment fault diagnosis system based on virtual simulation has the advantages such as short fault diagnosis time and high efficiency. In addition, the highest diagnostic accuracy of the manual diagnosis method is 75.48%, which is far lower than the accuracy of the diagnostic system. Conclusion: It is proved that the designed fault diagnosis system has the advantages such as short detection time and high accuracy and can meet the safety requirements of industrial production.
引用
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页数:9
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