Accession Number : ADA159007

Title :   Reliability Modeling of Standby and Emergency Generating Systems.

Descriptive Note : Master's thesis,

Corporate Author : TEXAS A AND M UNIV COLLEGE STATION DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : Lynch,J M

PDF Url : ADA159007

Report Date : Jun 1984

Pagination or Media Count : 36

Abstract : Engine-generator units for use in standby power systems are reviewed. Reliability models including state transition diagrams are developed for sample systems. Methods of reliability analysis are discussed and the calculation of useful reliability measures is demonstrated. A computer program for the solution of reliability measures is included. Example systems studies are conducted and results presented. The state space approach for evaluating important reliability measures can be quickly and efficiently applied to varied standby/emergency configurations. The results of such a quantitative evaluation can assist in making cost vs. benefit decision for an installation as well as making comparisons of generator systems. The example studies conducted in the paper demonstrates the improved reliability measures obtained by introducing redundancy into a standby configuration, but another important aspect to consider is that of the start-up failure probability. Results showed that a single engine system with high start-up probability stands to be as equally reliable as a dual generator configuration with lower start-up probability. Consideration of environmental conditions can also have an effect on reliability measures but on a far more restricted scale.

Descriptors :   *RELIABILITY, *STANDBY EQUIPMENT, *MOTOR GENERATORS, COMPUTER PROGRAMS, MEASUREMENT, ENVIRONMENTS, EMERGENCIES, DECISION MAKING, COST EFFECTIVENESS, MODELS, PROBABILITY, FAILURE, SOLUTIONS(GENERAL), LIMITATIONS, SCALE, CONFIGURATIONS, POWER SUPPLIES, ENGINES, TRANSITIONS, SYSTEMS ANALYSIS, GENERATORS, STARTING, BENEFITS, REDUNDANCY, DIAGRAMS

Subject Categories : Electric Power Production and Distribution
      Statistics and Probability
      Mfg & Industrial Eng & Control of Product Sys

Distribution Statement : APPROVED FOR PUBLIC RELEASE