Abstract: A method for grinding state real-time monitoring of a novel point grinding wheel was proposed based on the acoustic emission(AE) signal. The correspondence between surface roughness and the AE signals were established， which provided the condition for monitoring the surface roughness. Single factor experiments were used to obtain the influence of parameters on RMS values of the AE signals. The conclusion further proves the correspondence. Firstly， the AE signals of different wear state of grinding wheel were compared and analyzed. According to this signal， the grinding process could be monitored in real time. Secondly， in order to distinguish the sources of the AE signals， spectrum analysis of the AE signals was carried out. When the grinding wheel worn， the energy of AE signals in 45~65kHz， 80~90kHz and 100~110kHz were significantly increased and there is a high spike at 15kHz. Therefore， the as-proposed method is feasible and effective.

Key words: point grinding, novel grinding wheels, AE signal, surface roughness, grinding state monitoring