Weight factor-introduced large-scale hydraulic machine intelligent diagnosis method

Abstract

The invention discloses a weight factor-introduced large-scale hydraulic machine intelligent diagnosis method, and relates to the technical field of hydraulic machine fault diagnosis. The method comprises the following steps of firstly, carrying out feature conversion on the original vibration signals by utilizing deep forest multi-granularity scanning, and then substituting the converted featuresinto a cascade forest of the depth forest which introduces weight factors for supervised step-by-step training; finally, obtaining a final classification result by using an extreme gradient lifting method (XGBoost) for result fusion, and completing intelligent diagnosis of a pump station unit. The deep forest model is utilized, so that the complex theoretical analysis and a complex parameter adjusting process of the deep neural network applied in the fault diagnosis field are avoided; and the weight factor is used for correcting the class vectors, so that accuracy and effectiveness of fault diagnosis are improved; by virtue of the extreme gradient lifting method (XGBoost) for result fusion, the intelligentization and the accuracy of the diagnosis are further improved, so that end-to-end intelligent fault diagnosis from the original monitoring data is realized.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of hydraulic machinery, in particular to an intelligent diagnosis method for large hydraulic machinery that introduces weight factors. Background technique [0002] Pumping stations play an important role in industry, agriculture, production and life, so the reliable operation of pumping stations is very important. The traditional maintenance measures are regular maintenance and after-the-fact maintenance. This maintenance method has great disadvantages. In many cases, mechanical equipment has obviously failed but the maintenance period has not yet expired. It needs to go through multiple layers of applications before it can be repaired. Regular maintenance will be difficult. The machine has been severely worn and has reached the level of being scrapped. Sometimes it is found that the unit is in good condition during the maintenance process and does not need to be repaired at all. Under s...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of large-scale hydraulic machinery intelligent diagnosis method that introduces weight factor, thus solve the foregoing problems existing in the prior art

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