To solve the problem of salivate, an unsteady phenomenon caused by the mismatch of feed velocity and high-voltage in the electrospinning to fabricate nanoscale fibers, this paper proposes an on-line monitor system based on the multi-featured pattern recognition for realizing both the stability of nanofiber manufacturing and the controllability of fiber diameter. Firstly,an industry CCD is used to collect the image of the Taylor cone continously, and then these images are preprocessed by sharpening, filtering and threshold segmentation. The perimeter, area and height of the Taylor cone are recognized by the multi-featured pattern recognition algorithm to judge the shape and size of the Taylor cone. Finally, the result of pattern recognition is viewed as the feedback signal to adjust the feed module and high-voltage module. Experimental results indicate that when the voltage is 8 kV, the system can be stabilized in 0.43 s,and it maintains a stable shape of Taylor cone without the salivate phenomenon.Moreover,obtained nanoscale fiber shows a uniform diameter. In conclusion, this method has reliably and effectively solved the instability and uncontrollability of nanoscale fiber manufarturing.