CYCLE OF NETWORK ANALYSIS DEFINITION PDF
When reliability professionals assess PDF parameters from reports, the chance of error is greater than when comparing them with defined parameters based on historical data. Thus, two points of view among reliability professionals are discussed all over the world: the reliability index and PDF parameters must be defined in a report to make analysis easier, or index and PDF parameters must be calculated and updated for specialists. The best scenario, of course, is that the reliability index and PDF parameters are available for reliability professionals, but this is not usually the case. In reality, creating the data is the first step of life cycle analysis, and then defining the reliability index based on this data. In fact, if there are no reliability index and PDF parameters for conducting reliability analysis, this data must be created by reliability specialists based on available data. For inspection and maintenance professionals, historical failure data means files with services described by type of failure of occurrence, time to repair, data, and recommendations. In the oil and gas industry, equipment generally does not have a high frequency of failure, which enables employees to more easily collect and work with equipment failure data.įor many reliability professionals historical failure data means a reliability index, which includes failure rate, reliability, availability efficiency, MTTF, or PDF (probability density function) parameters. This is a big challenge for most companies, because even when procedures and programs are established, it is necessary to collect, assess, and store failure data in files and reports for access later.ĭepending on the system, collecting failure data depends on maintenance and inspection routines, and this data collection process often competes with other activities. Moreover, employees must be trained in collecting data and making decisions based on reliable data. When doing so, managers must be aware of the importance of collecting equipment failure data and also instructing and supporting employees to do so. The main point is that some companies have historical data and others do not.Īn environment for assessing root cause analysis and solving problems as well as making decisions based on reliable information makes the data collection process and the creation of historical data reports very important.įor companies that do not have data to make decisions, the first step is creating historical data reports before carrying out life cycle analysis. Therefore, the first step in reliability applications is to collect data, but in many cases the engineer who needs the data for life cycle analysis is not the same person who fixes or performs maintenance on the equipment and collects the data. Many companies in the oil and gas industry and other industries do not have historical data for their equipment, and some equipment suppliers have no historical failure data for their products. The failure mode is the way a piece of equipment or product loses part or total capacity to conduct its function. To conduct life cycle analysis it is necessary to have historical data about failure modes. Therefore, the first step in life cycle analysis is to understand how failures occur over time and to define failure rate, reliability, availability, and mean time to failure (MTTF) to best time inspections and maintenance and to see if equipment is achieving reliability.
To define the reliability of a piece of equipment, product, or service, it is necessary to collect historical failure data. Reliability is the probability that a piece of equipment, product, or service will be successful for a specific amount of time. Dr.Eduardo Calixto, in Gas and Oil Reliability Engineering, 2013 1.1 Quantitative Failure data Analysis
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