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Optimization of inspection and maintenance strategies based on machinery degradation could improve the operation safety and manufacturing efficiency. In this paper, a novel non-fixed periodic inspection strategy will be proposed and applied in precognitive maintenance to monitor and repair a multistage degradation process. The overall cost function of each degradation stage can be individually constructed...
A cost-optimal monitoring and maintenance strategy could not only reduce the operation hazards, but also save the overall costs in industry. In this paper, a novel non-fixed periodic inspection strategy with a warning degradation threshold will be proposed and optimized, whose optimization objectives are warning threshold and inspection interval applied. In our proposed strategy, above warning threshold...
Effective equipment fault diagnosis can assist to schedule the proper maintenance and reduce breakdown risks for realistic engineering systems. In this paper, a novel two-step precognitive maintenance framework is proposed to diagnose the equipment health conditions based on its real-time Condition Monitoring (CM). The synthetic minority over-sampling technique is implemented firstly to balance a...
Effective prediction of unobservable degradation can assist to schedule preventive maintenance and reduce unexpected downtime for realistic industrial systems. In this paper, an extended time-/condition-based framework is proposed for the Probability Density Function (PDF) prediction of unobservable industrial wear. Furthering our earlier work of unobservable degradation estimation, a stage-based...
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