Reciprocating compressor fault diagnosis method based on fine multi-fractal

A fault diagnosis and compressor technology, applied in mechanical equipment, machines/engines, computer components, etc., can solve problems such as difficult to describe the fault state characteristics of reciprocating compressors

Inactive Publication Date: 2019-05-03
NORTHEAST GASOLINEEUM UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a fault diagnosis method for reciprocating compressors based on fine mult

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  • Reciprocating compressor fault diagnosis method based on fine multi-fractal
  • Reciprocating compressor fault diagnosis method based on fine multi-fractal
  • Reciprocating compressor fault diagnosis method based on fine multi-fractal

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[0074] Below in conjunction with accompanying drawing, the present invention will be further described:

[0075] This fine multifractal-based reciprocating compressor fault diagnosis method includes the following contents: figure 1 Shown:

[0076] Step 1: Collect the surface vibration acceleration signals of the sensitive measuring points of the reciprocating compressor;

[0077] Step 2: Use parameter optimization time-varying filtering empirical mode decomposition algorithm to decompose the selected signal, and extract the intrinsic mode function components, including the following steps:

[0078] Use the genetic algorithm to optimize the parameters of the time-varying filtering empirical mode decomposition method, set the parameters required by the genetic algorithm, the population size is 50, the maximum genetic algebra is 200, the crossover probability is 0.3, the mutation probability is 0.01, and the kurtosis value is selected as the fitness Function, through the compar...

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Abstract

The invention relates to a reciprocating compressor fault diagnosis method based on fine multi-fractal. The reciprocating compressor fault diagnosis method based on fine multi-fractal comprises the following steps of: collecting machine body surface vibration acceleration signals of a sensitive measuring point of a reciprocating compressor; decomposing selected signals by using a parameter optimization time-varying filtering empirical mode decomposition algorithm, and extracting intrinsic-mode function components; calculating the kurtosis values of the obtained intrinsic-mode function components, preferably selecting the main intrinsic-mode function component, performing signal reconstruction, and realizing the noise reduction processing of the collected vibration acceleration signals; performing fine multi-fractal calculation on the reconstructed signal, and describing the structural characteristics and local dynamics behaviors of the signals through a multi-fractal singular spectrum;extracting parameters of the fine multi-fractal singular spectrum, forming eigenvectors of the fine multi-fractal singular spectrum, and diagnosing the fault of the reciprocating compressor; and inputting the eigenvectors of the vibration signals into a recognizer of a support vector machine, and judging the fault type of the vibration signals. The method can describe the fractal characteristicsof the signals in more detail, and can diagnose the fault type more accurately.

Description

Technical field: [0001] The invention relates to the technical field of fault diagnosis of reciprocating machinery, in particular to a method for fault diagnosis of reciprocating compressors based on fine multifractals. Background technique: [0002] The reciprocating compressor is a kind of mechanical equipment for compressing and transporting gas with a wide range of pressures. Its structure is complex, there are many internal excitation sources, and it is under the action of alternating load for a long time, resulting in severe nonlinear and non-stationary vibration signals of the reciprocating compressor. Coupling features such as shock and discontinuous time-varying. Due to the uninterrupted operation of the reciprocating compressor, the typical components such as the power transmission and movement of the reciprocating compressor are in a state of friction and collision for a long time, and failures such as gap failures caused by friction and wear of the crosshead and ...

Claims

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Application Information

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IPC IPC(8): F04B51/00G06K9/62
Inventor 李颖王金东赵海洋李云峰阎浩然高鹏超
Owner NORTHEAST GASOLINEEUM UNIV
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