This study mainly explored the relationship between process vibration signals of surface grinders and the quality of finished processing parts. The processing conditions affecting the quality of workpieces include: grinding wheels, cutting fluids, feed, and so on. Four types of quality states are usually seen in workpieces that undergo mirror polishing, include normal, scratches, chatter lines, and burns. In order to detect the quality of the finished workpieces, the surface grinder spender's process vibration signals and the time-frequency were extracted, which underwent time-frequency statistical characteristics analysis. The statistical characteristics parameters of the process vibration signals that represent the quality of the workpieces were extracted. Then, the statistical characteristics parameters were added to the statistical process control in order to monitor the quality of the workpieces through the use of control diagrams, thereby quickly tracing the time attributable causes that took place and adopt corresponding methods to return to the normal state.