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《Journal of Zhejiang University(Engineering Science)》 2009-01
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Harmonic analysis approach using enhanced Adaline neural network

CAI Zhong-fa,ZHOU Jian,CHEN Long-dao (College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China)  
An enhanced Adaline neural network model was proposed to improve the accuracy of Adaline neural network harmonic analysis approach for frequency fluctuating signals.The fundamental frequency was treated as weight to be adjusted to estimate the signal frequency and all harmonics' amplitudes and phases.The momentum and the delayed frequency adjustment were adopted in the learning algorithm to improve the convergence performance.The influence of learning rates and momentum to the algorithm performance was detailed and the optimum setting of the parameters was revealed.The Matlab simulation results demonstrated that the algorithm achieved high accuracy and rapid convergence with no spectral leakage.The enhanced Adaline harmonic analysis approach is suitable for the situation of short asynchronous sampling data.
【CateGory Index】: TM711;TP183
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