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According to the interference to leak detection of mineral slurry pipeline caused by work condition adjustment,effectively extracting the characteristics of leak signal is the key to reduce the leakage of the false negatives and false positives.In this paper,a leak detection method based on EMD and VPMCD is proposed. In this method,the pressure signals are decomposed into several IMF components, and then take local Hilbert energy spectrum which most accurately reflect the pipeline operation conditions as feature values, Finally the leak identification model is established by VPMCD classifier.When the method is applied to the leak detection,the experimental results show that under the conditions of normal operation,leakage and work condition adjustment, the recognition rate of the mineral slurry pipeline reaches 95%,and by comprehensively analyzing the flow signals, it also improves the accuracy of leak detection.