Increasing the sensitivity and expanding the functionality of bipolar analysis of rotary machine vibrations

Vibration-acoustic diagnostics of rotary machine defects is the most effective method for non-destructive testing their technical condition. Practice shows that its successful use largely depends on a set available methods analyzing vibration processes. Gears are common and heavy-duty components determine overall vibratory condition machine. There quite variety vibration-based gear defects. They include an interesting bipolar analysis which consists in separate positive negative parts signal with subsequent formation diagnostic indicator form differences, ratios, etc. The aimed at assessing quality gearbox assembly by position tooth contact pattern. Limited area low sensitivity disadvantage this method. paper broadband maxima application significantly increases efficiency. Using example wear flanks sun satellite gears pair value backlash differential turboprop engine, it was found to be ensured increasing expanding functionality. In our analysis, we used statistics gearboxes different degrees repaired backlashes. case, wide well-known indicators can used: intensity n-dimensional vectors informative series, parameters individual harmonics, amplitude modulation depth, probabilistic characteristics selected frequency bands, dimensionless discriminants, cepstra, presents some examples these methods.