A Review of Signal Analysis Methods and Their Applications in the Reversible Pump Turbine

Abstract

This chapter summarizes the signal analysis methods and their applications in the field of reversible pump turbine, including time-domain analysis, time-frequency analysis, mode decomposition and de-noising. The time-domain analysis methods include the time-domain statistical parameters, correlation analysis and chaos evaluation. The time-frequency analysis methods include the short-time Fourier transform, Hilbert-Huang transform and VMD-Hilbert transform. Furthermore, the signal mode decomposition and signal de-noising will be introduced together with the related evaluation indexes. The applications of the aforementioned methods are demonstrated based on both the simulated ideal signals and the measured signals from the prototype reversible pump turbines.