Heat Power Equipment Sample Tests Using Time-Series Techniques

Abstract

The article is concerned with the problem of planning of the amount of sample tests of heat power equipment components using time-series techniques. In the operation process of thermoelectric power stations (TPS) their expensive components (turbines, bearings, oil systems, generators, transformers, pipelines etc.) require securing of preset level of reliability and safety. For achievement of this aim it is necessary to develop corresponding plan of sample tests. Peculiarity of heat power equipment components is that they are devices consisting of elements’ totality of mechanical, hydraulic, pneumatic, electronic and other types. The basis of the proposed sample tests amount planning technique is the condition of test sample restorability after failure through improvements. In this case, the risk of developer (supplier) is assumed to be close to zero (α = 0). Improvement will be considered effective if carried out tests are successful in the same amount after improvement. Novelty of the proposed test amount planning technique for one preset level of reliability allows getting required output characteristics of heat power equipment in shorter period.