Non-intrusive information fusion fault diagnosis of printed circuit board based on artificial immune system

The non-intrusive fault diagnosis of Printed Circuit Board(PCB) based on information fusion is presented in this paper to improve the fault coverage of the non-intrusive fault diagnosis.The method based on the Artificial Immune System(AIS) algorithm integrates a comprehensive information for PCB taking the circuit branch current information and node voltage information as the data.The fault diagnosis result of the pitch control board's current-transfer-voltage circuit shows that better fault recognition result has been achieved using the fused data compared with either individual data source.