Remote intelligent fault diagnosis of analog circuit
Qing Yang, Yuanyuan Zhu, Feng Wu · 2011
A remote intelligent fault diagnosis approach of analog circuit based on probabilistic neural network (PNN) and virtual instrument technology, called RPNN, is proposed. Firstly, PNN is used to classify the faults. Then, remote fault diagnosis is realized by virtual instrument technology. Simulation results illustrate that RPNN is feasible to soft fault diagnosis in analog circuit. RPNN can provide an accepted degree of accuracy in fault classification under different soft fault conditions and can be operated remotely from another site connected to the server via the World Wide Web.