Analysis of accidents and machinery comprising rotating parts has revealed that a considerable amount of shutdowns is caused by the destruction of rolling bearings (40-50 %). To solve the problem of preventing sudden failures of the bearings one shall implement vibration monitoring of bearings condition during operation and switch from PPM to a condition-based maintenance and repair system.
Almost all existing methods of rolling bearing condition diagnostics deal with analysis of vibration-acoustic signals in time or frequency domains. But since operation of bearings within the machinery unit sometimes produces a lot of noise, there is a chance of a second-kind error occurrence.
That is why an increase of reliability of diagnostic results due to new method development is an urgent task. In that connection, a study of changes in characteristic function parameters of vibration-acoustic signals of bearings during condition measurement arouses a great interest.
Kostyukov V.N., Naumenko A.P., Kudryavtseva I.S. Diagnostics of rolling bearings by characteristic function parameters // Dinamika sistem, mehanizmov i mashin (Dynamics of systems, mechanisms and machines). - Omsk: OmSTU, 2014. - Iss. 4. - p. 142-145.
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