Entropy approach in the analysis of vibration and partial discharge signals

Abstract

The development of new methods of technical diagnostics is an important task aimed at improving the efficiency and safety of the operation of industrial equipment. Such methods are complexes of jointly used methods for obtaining diagnostic information, methods for extracting from it the actual data on the technical state of the diagnosed objects, and methods for organizing diagnostic processes. At the same time, the criteria of importance and value, as a rule, are different for the developers of these methods, developers of diagnostic systems, and direct operators of equipment, which requires the search for solutions that are a compromise for all interested parties and meet certain optimality requirements. One of the new approaches in the field of identifying and controlling new diagnostic information is the entropy method for evaluating data. Testing the applicability of this approach to the analysis of signals of vibration and partial discharges has shown the possibility of obtaining data on changes in the state of the diagnosed object. This information can be used to develop new diagnostic features designed for earlier detection of developing defects, as well as for checking and confirming technical diagnoses obtained by classical methods.

An Overview of Vibration Analysis Techniques for the Fault Diagnostics of Rolling Bearings in Machinery

“…It should be noted that in almost all of these standards, both foreign and domestic, except for [29,30], the values of the normative values are determined on the basis of empirical experience and research that are not available for study and verifcation. Te boundary values of the states in [29,30] were determined based on the analysis of statistical data obtained from the databases of monitoring systems [7,[54][55][56][57][58][59] and the use of probabilistic and statistical decision-making methods [60][61][62][63][64][65][66].…”