A new neural network algorithm of fault diagnosis for analog circuit based on wavelet packet and fuzzy rules is presented by combining wavelet packet, neural network and fuzzy theory together. Simulation experiments show that this algorithm can decrease neural network size, and has faster learning and convergence speed which can provide a effective way to fault diagnosis of analog circuits.