针对复杂装备预防性维修决策中设备寿命和成本估计不足的问题，研究了非完美维修情境下复杂装备的预防性维修决策优化方法.基于虚拟寿命理论建立了维修效率与设备寿命之间的关系，提出了3种检测及维修的周期计算方法；将故障导致的质量波动及可变维修成本纳入考量，建立了更精确的成本估算模型；以设备可用度最高和总成本率最低为目标，建立了预防性维修的多目标决策模型.同时，以某型加工中心为例，结合其生产与维修历史记录，通过实例数值对比分析了静态、动态及失效极限3种维护周期计算方法及其适用性，以及不同维修水平下总成本率与设备可用度的差异，并分析了质量成本对最优策略的影响，从而验证了所建模型的可靠性和新颖性.
The preventive maintenance (PM) decision-optimization problem of complex equipment is studied under imperfect repair context aiming at the deficiencies of residual life prediction and cost estimation. Based on the virtual age theory, we built the relationship between maintenance efficiency and equipment age. Furthermore, three different methods are put forward to calculate the relation between checking intervals and maintenance period. The quality fluctuation and variable maintenance cost caused by fault are considered to build a more concise overall cost estimation model. A multi-objective decision-making model for preventive maintenance is established to ensure high availability of equipment and low total cost. Numerical verification is performed using the production and maintenance history data of a machining center. The verification intends to compare the different overall cost rate and equipment availability under static, dynamic and failure limits calculation methods and various maintenance levels. In the same way, the applicability of the three methods is discussed. The influence of the quality cost on the optimal strategy is analyzed to prove the advanced nature of the method.
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