The fault diagnosis system based on wavelet neural network is implemented in the virtual instrument development platform. Chuas circuit is diagnosed as an example to demonstrate the effectiveness of the proposed method by making use of the different kinds of data processing methods and different neural network models. It is very convenient to get the fault type and the fault location from virtual instrument front panels through human interface. From this we can see the fault diagnosis technology based on virtual instrument has a strong practical value.