SSD and GZC machine state monitoring method and device

A machine state and algorithm technology, applied in the direction of measuring devices, machine/structural component testing, mechanical component testing, etc., can solve the difficulty of determining the order of the fitting polynomial trend, the destruction of the fractal structure of the original signal, and the manual determination of the analysis scale, etc. problem, to achieve the effect of avoiding negative frequency phenomenon, high accuracy rate, high accuracy and precision
CN112697471AInactive Publication Date: 2021-04-23山东柯瑞申智能科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
山东柯瑞申智能科技有限公司
Publication Date
2021-04-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an SSD and GZC machine state monitoring method and device. An SSD algorithm is utilized to decompose an equipment vibration signal; a nonlinear discrimination algorithm is utilized to remove noise components and trend terms, and fractal signal components are reserved; a piecewise Hermite interpolation function is adopted to interpolate extreme points; a least square method is utilized to fit an envelope; a frequency modulation part is separated; a GZC algorithm is utilized to estimate an instantaneous frequency and calculate a corresponding instantaneous scale; a detrending result of the vibration signal is determined according to an analysis scale; a multi-fractal spectrum of the detrending signal is calculated; coordinates of a left end point, a right end point and an extreme point of the multi-fractal spectrum are extracted to as to serve as characteristic parameters of an equipment operation state to identify the equipment operation state; and the algorithm can be deployed into the equipment state monitoring device, so that the equipment operation state can be accurately distinguished. The equipment state monitoring device has good flexibility and portability, and is convenient for engineering application.
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Description

technical field

[0001] The invention relates to the field of equipment status monitoring and fault diagnosis, in particular to a method and device for monitoring the status of SSD and GZC machines. Background technique

[0002] Equipment vibration signals contain rich fractal features, which can describe the operating state of equipment. Box dimension, power spectrum analysis and rescaled range method can estimate single fractal parameters of stationary signals, and detrended fluctuation analysis (DFA) can estimate single fractal dimensions of non-stationary signals. However, when the equipment fails, its vibration signal is usually non-stationary and has multi-fractal characteristics. At this time, the traditional fractal dimension estimation method will produce relatively large errors. Multifractal detrended fluctuation analysis (MFDFA) can estimate the multifractal parameters of non-stationary signals, but the MFDFA method has the problems of manual determination of the ...

Claims

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