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
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
收藏
页数:9
相关论文
共 50 条
  • [21] Research on the Fault Diagnosis of Electrical Equipment Based on Mean Shift Algorithm
    Xiong, Fenfang
    Qiu, Runhe
    INTERNATIONAL CONFERENCE ON ELECTRONIC AND ELECTRICAL ENGINEERING (CEEE 2014), 2014, : 489 - 495
  • [22] Fan Fault Diagnosis System Based on Virtual Prototyping Technology
    Yin, Zhongjun
    Han, Tian
    Wang, Jianfeng
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS, 2008, : 425 - 429
  • [23] Research of remote fault diagnosis based on virtual instrument technology
    Liu, YF
    Miao, D
    Liu, FJ
    Liang, SH
    ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 1036 - 1039
  • [25] Research and Application on Fault Simulation Technology Based on Virtual Prototype
    Yang, Yan-feng
    Zheng, Jian
    Di, Chang-chun
    FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 184-185 : 389 - 392
  • [26] Engineering Equipment Integrated Fault Diagnosis System Based on Component Technology
    Wang Jian
    Li Jie
    You Xiangyang
    Liu Fang
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 630 - 633
  • [27] Research on Fault Diagnosis Technology for Power Grid Equipment Based on Spark
    Liu, Peng
    Wang, Wenhuan
    Wang, Yuying
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 1126 - 1131
  • [28] Study on electronic equipment fault diagnosis based on reliability analysis technology
    Wang, Y.C.
    Cai, J.Y.
    Meng, Y.F.
    Shanghai Haiyun Xueyuan Xuebao/Journal of Shanghai Maritime University, 2001, 22 (03):
  • [29] Infrared Technology in the Fault Diagnosis of Substation Equipment
    Cao, Yang
    Gu, Xiaoming
    Jin, Qi
    2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 81 - 86
  • [30] AFDX network equipment fault diagnosis technology
    Hu L.
    Liu Y.
    Guo Q.
    Shi Y.
    Ma C.
    Zhang J.
    Zhang T.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2023, 41 (03): : 546 - 556