Vibration-based synchronous sampling and its application in wind-turbine drive-train-condition monitoring

Abstract Utilizing shaft-speed information to analyse vibration signals is an important method for fault diagnosis and condition monitoring of rotating machineries, especially those running at variable speeds. However, in many cases, not always available, a variety reasons. Fortunately, most the measurements, embedded response different forms, such as format fundamental shaft-rotation-frequency its harmonics, gear-meshing-frequency etc. Proper signal processing can be used extract shaft instantaneous speed from measured responses. In existing shaft-speed-identification methods, narrow-bandpass filtering technique explicitly or implicitly. complex gearbox system, that wind turbine, gear-meshing-response component could modulated by other speeds, due configuration existence damage. As result, it very difficult isolate single vibration-response detection. this paper, innovative approach presented. The extracted based on maxima tracking spectrogram. A numerical integration scheme employed obtain phase. Digital-domain synchronous resampling then applied data using phase information. Due nature noise suppression integration, accuracy sampling greatly improved. This proposed demonstrates feasibility engineering applicability through controlled laboratory test case two field wind-turbine cases. More detailed results conclusions research are presented end paper.