Paper
26 May 2023 Equipment maintenance data mining based on FP-growth algorithm
Juan Gu, Tianyuan Jiang, Lei Shen
Author Affiliations +
Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127000W (2023) https://doi.org/10.1117/12.2682590
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China
Abstract
This paper extracts the maintenance records of the equipment in the equipment big data platform, uses the FP-growth algorithm to mine association rules, obtains typical association rules, and mines the associations of various faults occurring in regions, motorcycle hours, etc., to provide decision support for maintenance plan formulation, maintenance equipment procurement and storage, and to provide technical support for improving the effectiveness of equipment support.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Gu, Tianyuan Jiang, and Lei Shen "Equipment maintenance data mining based on FP-growth algorithm", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127000W (26 May 2023); https://doi.org/10.1117/12.2682590
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KEYWORDS
Mining

Failure analysis

Data mining

Systems modeling

Pipes

Cooling systems

Tunable filters

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