Reliability Engineering & Data Collection

M. Houtermans, T. V. Capelle, M. Al-Ghumgham
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引用次数: 4

Abstract

International petrochemical, chemical, refining and petroleum industries are trying to implement reliability programs to improve plant safety while trying to maintain plant availability. These programs can vary significantly in size and complexity. Any kind of reliability program, like a preventive maintenance (PM) program, consists always of one or more reliability models and reliability data to execute these models. It is needless to say that the actual successful implementation and utilization of these reliability programs heavily depends on the accuracy of the reliability models and the availability of realistic data, or at least as close as possible data. The objective of this paper is to give the reader a better understanding of the importance of reliability engineering focusing on the collection of reliability data for the purpose of process availability, safety and preventive maintenance programs. The paper will first explain what reliability engineering is and why it is important for processing plants to have a reliability program. Second the paper will give an overview of different programs in use today by companies (preventive maintenance, risk based inspections, etc). Next the paper will focus on the role of reliability modeling and data. The paper will explain the kind of reliability data needed and the current available sources for this data. The focus will be on the actual data available within the plant that can among others be collected through the information derived from the archived data in the DCS systems. An excellent time to collect data is during scheduled plant turnarounds. Based on the example of a control valve the paper will explain the role that humans can play to improve the administration of reliability data during plant turnaround. Also the importance of failure analysis will be addressed. Finally the paper will conclude with an example of a decision support model which heavily depends on accurate reliability data. This example demonstrates how a plant owner can benefit from a practical application of reliability engineering.
可靠性工程与数据收集
国际石油化工、化工、炼油和石油工业正在努力实施可靠性计划,以提高工厂的安全性,同时努力保持工厂的可用性。这些程序在大小和复杂程度上差别很大。任何类型的可靠性计划,如预防性维护(PM)计划,总是由一个或多个可靠性模型和执行这些模型的可靠性数据组成。不用说,这些可靠性方案的实际成功实施和利用在很大程度上取决于可靠性模型的准确性和实际数据的可用性,或者至少尽可能接近数据。本文的目的是让读者更好地理解可靠性工程的重要性,重点是收集可靠性数据,以实现过程可用性、安全性和预防性维护计划。本文将首先解释什么是可靠性工程,以及为什么加工厂有一个可靠性计划是重要的。其次,本文将概述当今公司使用的不同程序(预防性维护,基于风险的检查等)。接下来,本文将重点讨论可靠性建模和数据的作用。本文将解释所需的可靠性数据的类型和当前可用的来源。重点将放在工厂内可用的实际数据上,这些数据可以通过从DCS系统中的存档数据中获得的信息收集。收集数据的最佳时间是在计划的工厂周转期间。本文将以控制阀为例,说明人类在改善工厂周转期间可靠性数据管理方面所起的作用。此外,失效分析的重要性也将被讨论。最后给出了一个依赖于准确可靠性数据的决策支持模型的实例。这个例子说明了工厂所有者如何从可靠性工程的实际应用中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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