Research on Equipment Maintenance Strategy Optimization Based on Particle Swarm Optimization Algorithm

Aiming at equipment maintenance strategy optimization, this paper presents a method based on the Particle Swarm Optimization (PSO) algorithm. It combines equipment reliability analysis with Failure Mode and Effects Analysis (FMEA), considering factors like failure risk, maintenance cost, and downtime loss. The PSO algorithm optimizes the maintenance cycle of equipment components. Reliability analysis forecasts remaining life, and FMEA evaluates failure modes. The PSO algorithm adjusts the maintenance cycle based on these results. Experiments show this method can cut maintenance cost, reduce downtime loss, arrange maintenance cycles rationally, decrease unnecessary maintenance, and enhance overall equipment operation efficiency.