设备的一种计划维修策略

本文根据设备在全寿命内有事后修理、计划修理和最后报废的实际情况,以全寿命内单位时间的更新维修期望费用最少为目标函数,建立一种数学模型,寻求设备在全寿命内最佳计划修理次数N和最佳的一组计划维修时间间隔集T。     

浅论维修科学理论体系

本文论述建立维修科学理论体系的意义和研究时应考虑的一些准则,并提出具体的体系结构模式。该体系由维修导论、维修技术、装备采办和维修管理4个学科分支组成。     

维修方式再探讨

本文根据近几年关于维修方式讨论中提出的一些问题,在维修方式的分类、应用决策、设计要求和效能等方面,联系维修实际进行了探讨,提出了一些原则、方法和观点。     

以可靠性为中心的维修

以可靠性为中心的维修(Reliability Centered maintenance——RCM)是美国航空界和美国防部制订装备预防维修大纲时所使用的一种维修理论,其主要目的是以最低的费用保持复杂装备的固有可靠性水平。本文跟踪RCM的发展过程,简述其基本原理和基本内容,并在综述国内外有关文献的基础上提出了笔者对RCM的认识及在军械系统应用RCM的必要性。     

美国空军飞机战伤修理的发展及其对我们的启示

论述了美国空军战伤修理在方针、组织、培训、战伤修理规程、备件及工具箱、设计、试验数据库、新技术开发和常用抢修技术等方面的发展。同时提出了我空军战伤修理在这些方面的发展建议。     

与装备维修组织设计相关的几个问题

论述了建立装备维修组织过程中的主要活动及它们之间的关系。分析了国内外目前在该领域的研究状况。重点讨论了装备维修组织设计中任务环境、资源组成、资源分布、管理结构、维修专业组结构及资源动态决策等六个问题。     

Optimal maintenance policies for a safety‐critical system and its deteriorating sensor

We consider the integrated problem of optimally maintaining an imperfect, deteriorating sensor and the safety‐critical system it monitors. The sensor's costless observations of the binary state of the system become less informative over time. A costly full inspection may be conducted to perfectly discern the state of the system, after which the system is replaced if it is in the out‐of‐control state. In addition, a full inspection provides the opportunity to replace the sensor. We formulate the problem of adaptively scheduling full inspections and sensor replacements using a partially observable Markov decision process (POMDP) model. The objective is to minimize the total expected discounted costs associated with system operation, full inspection, system replacement, and sensor replacement. We show that the optimal policy has a threshold structure and demonstrate the value of coordinating system and sensor maintenance via numerical examples. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 399–417, 2017     

基于二维量度的复杂设备预防性维修决策优化

针对使用与维修具有两个测量维度的复杂设备,开展了其预防性维修决策的优化研究。基于二维量度的故障模式,给出了二维故障率的定量描述方法;分析了其预防性更换过程的基本过程,探讨了二维量度下更换周期对维修效果的影响,并从经济性角度建立了二维工龄更换费用模型;最后,采用算例的形式,对某设备维修决策同时考虑日历使用时间和行驶里程的情况,进行了二维更换间隔期的优化求解,从而验证了所建立方法与模型的实用性。     

美军维修改革发展研究

维修保障是武器装备形成战斗力的关键要素。随着国际形势和美国国内经济、科技等方面的发展变化,美军的维修策略、维修技术以及维修保障信息化等方面也在不断变革。总结了2000年前后至今,美军在维修保障方面的重大变革,对其发展趋势进行了预测,并结合我军装备保障实际,积极探索切实可行的有效对策。     

Model parameter estimation and residual life prediction for a partially observable failing system

We consider a partially observable degrading system subject to condition monitoring and random failure. The system's condition is categorized into one of three states: a healthy state, a warning state, and a failure state. Only the failure state is observable. While the system is operational, vector data that is stochastically related to the system state is obtained through condition monitoring at regular sampling epochs. The state process evolution follows a hidden semi‐Markov model (HSMM) and Erlang distribution is used for modeling the system's sojourn time in each of its operational states. The Expectation‐maximization (EM) algorithm is applied to estimate the state and observation parameters of the HSMM. Explicit formulas for several important quantities for the system residual life estimation such as the conditional reliability function and the mean residual life are derived in terms of the posterior probability that the system is in the warning state. Numerical examples are presented to demonstrate the applicability of the estimation procedure and failure prediction method. A comparison results with hidden Markov modeling are provided to illustrate the effectiveness of the proposed model. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 190–205, 2015