Abstract
According to the vibration mechanism of ship gas turbine rolling element bearings common failure modes, the variation of the common indicators during the rolling element bearings health status degradation process is analyzed, and the reflection ability of the various indicators is studied based on the consistency and sensitivity. The results show that the Root-Mean-Square value, Peak-Peak value, Wavelet Energy Spectrum Entropy and Singular Spectrum Entropy can effectively reflect the health state change of rolling element bearings.
Highlights
There are so many rolling element Bearings in the ship gas turbine system, which is the most prone failure device
Wavelet Energy Spectrum Entropy and Singular Spectrum Entropy change smooth in the bearing normal state before 100 h, and increase gradually between 100 h to 150 h, which are consistent with the change of the bearing health state
Through analyzing the indictors’ changes in the rolling element bearing in the rolling element bearing state degradation process, the reflectivity of each index is studied based on the consistency and sensitivity
Summary
There are so many rolling element Bearings in the ship gas turbine system, which is the most prone failure device. Gas turbine system working in bad and complex force conditions, with a long time running, the health status of rolling element bearings will gradually degenerate, which may lead to serious accidents, resulting in significant economic losses, and even endanger personnel safety. It is necessary to study the health status indicators of rolling element bearings, in order to supporting the ship gas turbine health status assessment [1]. Degradation of the state of health of the rolling element bearings results in increased vibrations, and severely damages the equipment. How to extract valid characteristics of rolling element bearings health indicators has become a key issue [2]
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