Reciprocating compressor fault diagnosis method based on fine multi-fractal

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 ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a fault diagnosis method for reciprocating compressors based on fine multi-fractals, which is used to solve the problem that it is difficult to describe the faults of reciprocating compressors accurately.

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