location:Home > 2019 Vol.2 Oct. No.5 > Research on Fault Diagnosis Method of Electronic Devices Based on Big Data Mining Technology

2019 Vol.2 Oct. No.5

  • Title: Research on Fault Diagnosis Method of Electronic Devices Based on Big Data Mining Technology
  • Name: Athanasios Vasdravellis
  • Company: University degli studi di Milano
  • Abstract:

    Due to the large data base of electronic devices, the fast update and easy loss, the electronic devices are prone to failure during the development process. Therefore, the fault diagnosis method of electronic devices based on big data mining technology is proposed. Introduce big data mining technology, analyze the composition of big data mining technology, realize the diagnosis of electronic device fault type; complete the accurate analysis of electronic device fault according to the mining process and fault algorithm of big data mining technology. The experimental data shows that the proposed electronic data fault diagnosis method for big data mining technology has an analysis accuracy of up to 80%, which proves the effectiveness of this method.

  • Keyword: device failure; diagnostic method; electronic equipment; big data mining;
  • DOI: 10.12250/jpciams2019050544
  • Citation form: Athanasios Vasdravellis.Research on Fault Diagnosis Method of Electronic Devices Based on Big Data Mining Technology[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 81-86.
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Tsuruta Institute of Medical Information Technology
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