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Research on testability design analysis of high-power generator is of great significance to improve its maintenance supportability level. By analyzing the fault modes of high power density generator, the typical fault modes of generator are obtained. For each fault mode, the physical parameters to be monitored for generator fault detection are summarized. Then, through the construction of multi signal flow model and fault test correlation analysis, the generator measurement points are improved, and a measurement point improvement method based on D matrix is proposed. By reasonably optimizing the measuring points, this method can improve the coverage level of the measuring points to the fault mode and reduce the redundant measuring points. Finally, through testability prediction, the indexes of fault detection rate and fault isolation rate of generator before and after improvement are compared. Finally, it is verified that the proposed measurement point improvement method can effectively improve the testability level of high-power density generator and provide technical support for testability design of generator.