IEEE Std 3006.8:2018 pdf download.IEEE Recommended Practice for Analyzing Reliability Data for Equipment Used in Industrial and Commercial Power Systems.
This recommended practice describes how to analyze reliability data for equipment used in industrial and commercial power systems. Equipment reliability data collected over the years is presented. This is followed by a discussion of key equipment reliability metrics, such as failure rate, downtime to repair in hours per failure, and probability of starting (operating).
2. Normative references
The following referenced documents are indispensable for the application of this document (i.e., they must be understood and used, so each referenced document is cited in text and its relationship to this document is explained). For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments or corrigenda) applies.
IEEE Std 3006.2-2016, Recommended Practice for Evaluating the Reliability of Existing Industrial and Commercial Power Systems.
3. Definitions
For the purposes of this document, the following terms and definitions apply. The IEEE Standards Dictionary Online should be consulted for terms not defined in this clause.
4. Introduction
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 collection 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 (r) 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 3006.3Th120l7 [B211, IEEE Std 3O06.5TM20l4, and IEEE Std 3006.9-20l3 [B23].
The recommended practice is divided into three parts, which together cover data collection programs spanning more than 45 years. Each part consists of a large collection of equipment reliability and availability statistics.IEEE Std 3006.8 pdf download.