Equipment maintenance data mining based on FP-growth algorithm

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.