A kind of emulsion pump fault classification diagnosis method

Abstract

The invention discloses a fault classification diagnosis method for an emulsion pump. By stacking a plurality of automatic encoders and Softmax classifiers to build a deep self-encoding network (DAE), the multi-source monitoring parameters of the emulsion pump are used as input, and the adaptive features Learn and identify the failure mode of the emulsion pump, develop a fault location expert system, integrate the identified failure mode and necessary failure information, and analyze the cause. The adopted fault classification diagnosis method, the first level is the online fault identification based on the deep self-encoding network, which objectively and accurately reflects the failure form of the emulsion pump. Once the fault is confirmed, it will immediately alarm and trigger the offline fault location expert system; The second level is the fault location based on the expert system, which can accurately locate the fault and save the cost at the same time. The method makes full use of the powerful self-adaptive feature extraction ability of deep autoencoding network and the superiority of expert system in dealing with difficult mathematical problems, and provides a new idea for the fault diagnosis of emulsion pump.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of an emulsion pump, in particular to a fault classification diagnosis method of an emulsion pump. Background technique [0002] Coal is the main energy consumption in my country and the power support of the national economy. With the development of coal-based clean utilization technology, coal will still play an important role in the future development of the national economy. For a long time, the safety of coal mining has always attracted the attention of coal mining enterprises. The normal operation of coal mining equipment is the basic guarantee for safe production in coal mines. However, due to the complex structure of coal mining equipment, changing working conditions and harsh working environment, the failure rate of coal mining equipment remains high, which seriously affects the safe production of coal mines. [0003] As the "power source" of the hydraulic support, the emulsion pu...

AI Technical Summary

Problems solved by technology

Due to the precise structure of the emulsion pump, which integrates machinery, electricity and hydraulic pressure, its daily maintenance is time-consuming and labor-intensive, and has high technical requirements for front-line equipment workers

When a fault occurs, fast and accurate fault diagnosis cannot be achieved, and it is difficult to locate the fault, which greatly prolongs the maintenance time, slows down the resumption time of the fully mechanized mining face, and aggravates the economic loss of the coal mine

At present, there are still relatively few researches on the fault diagnosis methods of emulsion pumps. Most of them monitor the parameters of emulsion pumps online through PLC, etc., and it is impossible to accurately prevent and diagnose them.

The fault mechanism of the emulsion pump is complex, including various fault phenomena, fault coupling, different causes, and difficult fault location, etc. The traditional fault diagnosis methods are not up to the task of emulsion pump fault diagnosis

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