Moving sieve fault diagnosis method of coal particle size analysis in three-dimensional modeling

Abstract

The invention provides a moving sieve fault diagnosis method of the coal particle size analysis in three-dimensional modeling and belongs to moving sieve fault diagnosis methods. The moving sieve fault diagnosis method is characterized in that the impact strength to a buffer plate of coal falling from a moving sieve and the takeoff speed and the takeoff height after the coal impacts the buffer plate are detected by an impact sensor and a laser doppler velocity measuring method and utilized as characteristics of the moving sieve fault diagnosis; the three-dimensional modeling analysis is performed on the falling process of the coal to obtain three parameters of the impact strength P to the buffer plate of the coal, the bouncing initial velocity v0 of the coal and the rising displacement h of the coal, the cross-sectional area of the coal is determined by the characteristics of the three signals and compared with the cross-sectional area of a non-fault sieve mesh, and the cross-sectional area and the thickness of the coal are calculated out; the moving sieve fault diagnosis is performed through indirect measurement on the coal particle size. According to the moving sieve fault diagnosis method of the coal particle size analysis in the three-dimensional modeling, the three parameters of the impact strength to the buffer plate of the coal, the bouncing initial velocity of the coal and the rising displacement of the coal are utilized to accurately determine the maximum cross-sectional area and thickness of the coal and accordingly the fault of a sieve plate can be monitored out rapidly, accurately and simply.

Description

technical field [0001] The invention relates to a dynamic sieve fault diagnosis method, in particular to a dynamic sieve fault diagnosis method for coal block particle size analysis in three-dimensional modeling. Background technique [0002] Dynamic screen is one of the most important equipment in coal preparation plant. Since coal preparation is a continuous assembly process, once there is a problem with the dynamic screen in the middle link, it will cause damage to the subsequent machines in the production process, and even lead to shutdown in severe cases. Therefore, fast and accurate fault diagnosis is related to the efficiency and safety of coal preparation, and simplification, timeliness, and accuracy are important indicators for the quality of dynamic sieve diagnosis methods. [0003] The main means of fault diagnosis is to analyze the location and cause of the fault through the study of the phenomenon, characteristics and mechanism of the fault, and then give the m...

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Problems solved by technology

[0012] The purpose of the present invention is to provide a dynamic sieve fault diagnosis method for coal block particle size analysis in three-dimensional modeling, to solve the insufficient monitoring of th...

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