Intelligent test method and system for compressor cascade

The invention relates to the technical field of compressor cascade performance analysis, and discloses an intelligent test method and system for a compressor cascade, and the method comprises the steps: constructing a blade profile loss coefficient neural network prediction model and a total pressure recovery coefficient neural network prediction model in advance, and screening all to-be-tested working condition points through a maximum and minimum distance method. Corresponding typical working condition points are obtained, and the built blade profile loss coefficient neural network prediction model and the total pressure recovery coefficient neural network prediction model are updated according to the screened typical working condition points and cascade performance test data under the typical working condition points; and finally, the blade profile performance prediction of the remaining prediction working condition points is completed through the updated neural network prediction model, the test amount ca