The invention discloses a parameter
estimation method for an artificial circuit fault component based on Hilbert-Huang transforming (HHT). The premise of the parameter
estimation method for the artificial circuit fault component based on HHT is that a
single fault component is already located, a
sinusoidal excitation signal is applied on a circuit to be detected, and the output end of the circuit is used as a
test point. First of all the relation of the parameters of the component and the Hilbert
marginal spectrum total energy of a corresponding output
signal is acquired through
computer simulation, a relation curve equation is fitted, and the parameter
estimation equation of the fault component of an actual circuit can be acquired after errors are compensated. The
test point signals acquired by actual measurement are analyzed and calculated through the HHT to acquire the corresponding total Hilbert
marginal spectrum energy, and the total Hilbert
marginal spectrum energy is substituted into the parameter estimation equation to solve to
gain the parameter values. The parameter estimation method for an artificial circuit fault component based on HHT is simple and effective, and is suitable for linear artificial circuits and non-linear artificial circuits, the estimated accuracy of the parameters is up to 95%, and only one accessible test node is needed, and therefore the parameter estimation method for an artificial circuit fault component based on HHT is suitable for practical
engineering application.