IEEE 3006.8-2018 pdf free

IEEE 3006.8-2018 pdf free.IEEE Recommended Practice for Analyzing Reliability Data for Equipment Used in Industrial and Commercial Power Systems.
Knowledge of the reliability of electrical equipment is an important consideration in the design and operation of industrial and commercial power distribution systems. Each of the hundreds of components installed at a facility has an operational signature defined by its failure statistics. When these signatures are analyzed in the context of their relationship in a power system, designers and operators can understand and more importantly, predict- system performance over time. In response, this recommended practice offers the best facility equipment data currently available. The data that follow represent five decades,millions of dollars, and thousands of hours of labor in the ollction of data from more than 300 diverse facilities.
The failure characteristics of individual pieces of electrical equipment can be partially described by the following basic statistics: mean time to repair (MTTR) and mean time between failures (MTBF). From these, most failure statistics can be calculated, including and especially, reliability (I) and inherent availability (a). Data on other factors (e.g, cause and type of failures, maintenance procedures, repair method, etc.) are also required to characterize the performance of electrical equipment in service (refer to Historical Reliability Data for IEEE 3006 Standards: Power System Reliability, page 1 and page 61 for more information).
Availability is a key measure of facility performance. Many facilities operate for long periods of time,providing power to perform critical functions. Balancing the cost of design, construction, and maintenance against the requirement for continuous and reliable operation is of the utmost importance. Understanding both component-level and system-level failure statistics is essential to achieving this balance.
The data in this recommended practice are used to model power system performance. The analytical models required for estimating power system performance are presented in IEEE Std 3006.3TM-2017 [B21],IEEE Std 3006.5TM-2014. and IEEE Std 3006.9TM-2013 [B23].
The recommended practice is divided into three parts, which together cover data ollction programs spanning more than 45 years. Each part consists of a large collection of equipment reliability and availability statistics.
Part 1 includes data from two major collection efforts conducted by the U.S. Army Corps of Engineers
Power Reliability Enhancement Program (USACE-PREP). The 1994 data collction program was extensive, including information for many types of commercial facilities within the United States. The 2005 program replicated and expanded upon the 1994 program, respecting its standards for data integrity.Together, these efforts created the most comprehensive facility equipment reliability database in existence.
Part 2 is a ollction of equipment surveys conducted between 1976 and 1994. The resolution is remarkable, as it specifcally divulges cause of failure, a valuable piece of knowledge for facility managers.
Part 3 is a collection of equipment surveys conducted before 1976. The data in this ollction reveal detail about failure modes, time of failure discovery, and how failures were repaired following discovery. The data also give failure data for utility providers in a variety of configurations and voltage classes.
Each of the three parts complements the others, providing focused data to key indicators of equipment performance. Details of the survey data (Part 2 and Part 3) are unavailable to statistically merge with the data collected in Part 1; the raw individual component information from the data collction has been lost over time.IEEE 3006.8 pdf download.