Furthermore,it is demonstrated that the time-varying Prony method presented is more effective to identify nonlinear damping than the moving Prony method.

The Prony method is studied chiefly,and an improved form of Prony method is proposed.

By use of Prony method the mechanism of capacitor switching event and voltage magnification phenomena in power distribution system is analyzed and the simulated signals are decomposed into different components.

A middle and long term electricity demand forecasting method based on multi-exponents sliding forecast model was put forward and the prony method was applied to analyze and process the historical data.

According to nonlinear damping characteristics of an alloy,the moving Prony and the time-varying Prony methods based on the Prony method are put forward to identify the nonlinear damping of the alloy from its free response signal.

Design of fuzzy power system stabilizer based on Prony algorithm;

Application of Prony algorithm based on EMD for identifying model parameters of low-frequency oscillations

In this paper,on method of cycle signal analysis,it proposes a kind of cycle signal analysis method based on PRONY algorithm.

Fault line detection for single-phase-to-earth faults in the neutral indirectly grounded system based on Prony method;

Improved Prony method for online identification of low-frequency oscillations in power systems;

The combine of a dummy apparatus technology and a prony method gives prominence to the high performance, integration and maneuverability characteristics.

A decomposition algorithm of analytic signal based on the Prony method was presented according to the power quality signal characteristic.

AR spectrum estimation method, prony method, pisarenko method were united into a general theoretical model.

After short discussion of the Prony Method,we show the details of our theory.