The manifold physical signals including micro resistance,infrared thermal signal and acoustic emission signal in the tensile test for double-material friction welding normative samples were monitored and collected dynamically by TH2512 micro resistance measuring apparatus,flir infrared thermal camera and acoustic emission equipment which possesses 18 bit PCI-2 data acquisition board.Applied acoustic emission and thermal infrared NDT(non-destructive testing) means were used to verify the feasibility of using resistance method and to monitor dynamic damage of the samples.The research of the dynamic monitoring system was carried out with multi-information fusion including resistance,infrared and acoustic emission.The results show that the resistance signal,infrared signal and acoustic emission signal collected synchronously in the injury process of samples have a good mapping.Electrical,thermal and acoustic signals can more accurately capture initiation and development of micro-defects in the sample.Using dynamic micro-resistance method to monitor damage is possible.The method of multi-information fusion monitoring damage possesses higher reliability,which makes the establishing of health condition diagnosing and early warning platform with multiple physical information monitoring possible. The manifold physical signals including the micro resistance, infrared thermal signal and acoustic emission signal in the tensile test for double-material friction welding normative samples were monitored and collected dynamically by TH2512 micro resistance measuring apparatus, flir infrared thermal camera and acoustic emission equipment which possesses 18 bit PCI-2 data acquisition board. Applied acoustic emission and thermal infrared NDT (non-destructive testing) means were used to verify the feasibility of using resistance method and to monitor dynamic damage of the samples. research of the dynamic monitoring system was carried out with multi-information fusion including resistance, infrared and acoustic emission. The results show that the resistance signal, infrared signal and acoustic emission signal collected synchronously in the injury process of samples have a good mapping. Electrical, thermal and acoustic signals can more accurately capture initiation and development of micro-defects in the sample. Using dynamic micro-resistance method to monitor damage is possible. method of multi-information fusion monitoring damage possesses higher reliability, which makes the establishment of health condition diagnosed and early warning platform with multiple physical information monitoring possible.