STUDY OF FAILURE STATISTICS OF CAVITATORS IN THE FUEL OIL FACILITIES THROUGH THE APPLICATION OF REGRESSION AND CLUSTER ANALYSIS

Abstract

An essential, and at the same time poorly covered in scientific publications topic is the failures of cavitation systems. Practice of using cavitators at fuel oil facilities at thermal power plants in Kaliningrad region shows that these technical devices can fail rather often. In this study, cavitators failures problem was analyzed by survey of accumulated statistical data concerning the parameters of cavitators operation in fuel oil farms and the moments of failure occurrence. The regression and cluster analysis, which was used for data processing, allowed to determine the relationship between failure types and influencing factors and to rank the factors by the degree of their impact on the cavitation equipment. Based on the results of mathematical and data analysis, proposals for ensuring better technical reliability of cavitators, reorganization of its maintenance system and reduction of the number of failures were developed.

Keywords

• regression analysis
• cluster analysis
• least squares method
• k-means clustering
• cavitation equipment
• oil and gas equipment