An intelligent approach to optimal predictive maintenance strategy defining

The rapid growth of industries has complicated the systems functioning and has intensified the maintenance process. This emphasizes the need for effective maintenance planning. The improvement in maintenance technology relies on predictive maintenance, which is based on the determination of a machine condition while in operation. Maintenance planning is complex problem involving condition monitoring and expert knowledge. In the paper, an intelligent approach to optimal predictive maintenance strategy defining is proposed. It is based on methodology for predictive maintenance that increases reliability by determining the optimal maintenance strategy. For the goal, an algorithm based on cost-benefit analysis and optimization tasks solution is developed. The proposed approach to optimal predictive maintenance is demonstrated on the example of real vibrating feeder data. The results of numerical illustration show the applicability of intelligent decision making for optimal predictive maintenance strategy defining.

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