基于设备故障率评估的视情维修研究

发布时间：2018-06-24 22:13

本文选题：维修管理 + 预防性维修　；参考：《电子科技大学》2011年硕士论文

【摘要】：随着科技的高速发展,各种设备系统的结构越来越复杂,传统的预防性维修已经满足不了现代维修管理的需求。作为一种先进的预防性维修管理思想,视情维修受到了越来越多的重视。本文对视情维修进行了概述,并且对基于设备故障率评估的视情维修策略进行了理论和应用上的研究,主要研究内容如下: 在一般性的视情维修基本决策过程的基础上,加入了故障档案这一概念,提出了能够使得视情维修决策越来越精确的视情维修决策流程图。本文主要应用比例风险模型来建立设备系统在运行过程中状态信息和设备故障率之间的数学模型,选择了威布尔分布作为比例风险模型的基本风险函数,根据威布尔函数分布的特性推导出了两参数威布尔比例风险模型,并且在构造故障率密度函数的基础上利用牛顿-拉夫森迭代来计算未知参数值。分别从基于系统最大可用度和基于系统运行平均费用最优的角度,给出基于威布尔比例风险模型视情维修决策的过程,根据收集到的轴承系统振动幅值信号,进行了实例应用。目前的视情维修策略大多是在能够收集到大量当前运行的设备系统状态信息的基础上进行建模的,忽略了实际工程中可能因为监测数据的缺乏而不能对设备系统进行及时的视情维修管理。因此在考虑了在实际工程应用中由于监测数据缺乏,导致设备系统不能及时进行视情维修决策的基础上,提出了一种基于同类型系统监测数据不足的视情维修策略,并给出了具体的视情维修过程。最后利用齿轮频率谱增长指数对某齿轮全寿命试验中收集到的原始信号进行处理,得到了能够揭示同类型齿轮真实运行状态的特征信息,同时根据试验过程中的事件数据建立齿轮的威布尔比例风险模型,在以系统最大可用度为维修目标的情况下做出了同类型齿轮的视情维修决策。
[Abstract]:With the rapid development of science and technology, the structure of various equipment systems is becoming more and more complex. The traditional preventive maintenance can not meet the needs of modern maintenance management. As an advanced idea of preventive maintenance management, more and more attention has been paid to situational maintenance. In this paper, the maintenance strategy based on the equipment failure rate evaluation is summarized, and the theory and application of the maintenance strategy are studied. The main research contents are as follows: on the basis of the general decision process of situational maintenance, the concept of fault file is added, and a flowchart of situational maintenance decision is presented, which can make the decision of situational maintenance more and more accurate. In this paper, the proportional risk model is used to establish the mathematical model between the state information and the failure rate of the equipment system in the operation process, and the Weibull distribution is chosen as the basic risk function of the proportional risk model. According to the characteristics of Weibull function distribution, a two-parameter Weibull proportional risk model is derived, and the Newton-Raphson iteration is used to calculate the unknown parameter value on the basis of constructing the failure rate density function. From the point of view of the maximum availability of the system and the optimal average operating cost of the system, the process of maintenance decision based on Weibull proportional risk model is given, and the vibration amplitude signals of the bearing system are collected for an example. Most of the current maintenance strategies are based on the ability to collect a large number of currently running equipment system state information. It is neglected that the equipment system can not be managed according to the situation because of the lack of monitoring data in actual engineering. Therefore, on the basis of considering the lack of monitoring data in practical engineering application, the equipment system is unable to make timely maintenance decision, and a maintenance strategy based on the lack of monitoring data of the same type system is put forward. The specific maintenance process is given. Finally, the original signal collected in the whole life test of a gear is processed by using the growth index of the gear frequency spectrum, and the characteristic information which can reveal the true running state of the same type gear is obtained. At the same time, the Weibull proportional risk model of gear is established according to the event data during the experiment, and the maintenance decision of the same type gear is made under the condition that the maximum availability of the system is taken as the maintenance target.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH186

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