Dimensionless index based fault diagnosis method for rotating machinery

A technology for rotating machinery and fault diagnosis, which is applied in the field of data processing and can solve problems such as conflicting evidence bodies provided by sensors

Inactive Publication Date: 2016-03-23
GUANGDONG UNIV OF PETROCHEMICAL TECH
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However, in the actual information fusion system, due to natural environment interference or huma

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  • Dimensionless index based fault diagnosis method for rotating machinery
  • Dimensionless index based fault diagnosis method for rotating machinery
  • Dimensionless index based fault diagnosis method for rotating machinery

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Embodiment Construction

[0053] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0054] combine figure 1 It can be seen that a method for fault diagnosis of rotating machinery based on dimensionless indicators of the present invention comprises the following steps:

[0055] (1) Collect fault type signal data in real time from the sensors of the petrochemical rotating unit; the fault type signal data includes: bearing wear data, bearing external crack data, bearing internal crack data, bent shaft data, and missing bearing data.

[0056] (2) Carry out dimensionless index calculation on the collected signal data to obtain the waveform index S f , peak index C f , pulse index I f , margin index CL f and the kurtosis index K v ;

[0057] (3) Sampling the data obtained in (2) to obtain 1024 sample values ​​to form a data set;

[0058] (4) Use the Kolmogorov-Smirnov test method; randomly select a sample value in the data set in (3) as the s...

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Abstract

The present invention discloses a dimensionless index based fault diagnosis method for rotating machinery. The method comprises the following steps: (1) acquiring fault type signal data; (2) performing dimensionless index calculation; (3) performing sample processing to form a data set; (4) using a Kolmogorov-Smirnov test method, and using a kstest2 function in matlab to acqurie similarity between a to-be-tested sample and the known data set, so as to obtain a basic belief function; (5) performing corrected D-S data fusion by using an evidence combination method based on a weight coefficient and collision probability redistribution; and (6) analyzing a fusion result and making a decision. According to the technical scheme provided by the present invention, by using the dimensionless index, K-S and D-S combined rotating machinery fault evidence combination diagnosis method, a large number of fault signal characteristic values can be extracted; by using the K-S method, the rotating machinery fault evidence combination diagnosis is implemented more reliably; and by using a more reliable and reasonable fusion result, decision-making risk is reduced.

Description

technical field [0001] The technical solution relates to a data processing method, in particular to a fault diagnosis method for rotating machinery. Background technique [0002] Large-scale rotating machinery equipment (such as steam turbines, rotating bearings, fans, compressors, etc.) is the key equipment in important engineering fields such as petroleum, chemical industry, metallurgy, machinery manufacturing, aerospace, etc. Continuous development in the direction of serialization and precision requires higher safety and reliability of these devices. [0003] However, when the petrochemical rotating mechanical equipment fails, the vibration monitoring signal often contains a large amount of non-linear, random, and non-traversable information, which brings great difficulties to the analysis of the fault signal. [0004] The existing technology often uses the probability density function of the vibration signal of the petrochemical rotating machinery equipment to deduce t...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 熊建斌张清华梁琼王颀宋博陈仿雄孙国玺何俊邵龙秋朱兴统胡勤
Owner GUANGDONG UNIV OF PETROCHEMICAL TECH
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