Non-stationery vibration signal instantaneous frequency estimation algorithm in start and stop period of rotating machinery

A vibration signal, rotating machinery technology, applied in the measurement of vibration, vibration measurement in solids, the use of electromagnetic means, etc., can solve the problem of affecting the instantaneous frequency estimation accuracy, low accuracy, inability to do anything about adjacent order ratio and cross order ratio components, etc. Relieve dependencies, ensure accuracy, and improve computing efficiency

Inactive Publication Date: 2009-12-16
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to: aim at the problems existing in the instantaneous frequency estimation algorithm of the current rotating machinery vibration signal, especially the widely used STFT spectrum peak detection method exists when the filtering bandwidth will affect the instantaneous frequency estimation accuracy, and the detection of adj

Method used

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  • Non-stationery vibration signal instantaneous frequency estimation algorithm in start and stop period of rotating machinery
  • Non-stationery vibration signal instantaneous frequency estimation algorithm in start and stop period of rotating machinery
  • Non-stationery vibration signal instantaneous frequency estimation algorithm in start and stop period of rotating machinery

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Rotating machinery under test: rotor test bench, working frequency is 100Hz

[0027] Test bench: Rotating machinery rotor test bench produced by Yangzhou United Energy

[0028] Dynamic signal analyzer: OROS R3.4 dynamic signal analyzer

[0029] Non-contact eddy current displacement sensor: CWY-DO-502 non-contact eddy current displacement sensor

[0030] Photoelectric sensor: produced by Yangzhou United Energy

[0031] Computer: CPU is Pentium or above, memory is not less than 256M, 1G remaining hard disk space

[0032] Application Software: Rotating Machinery Order Analysis Software (OrdTra)

[0033] In this embodiment, the instantaneous frequency of the reference shaft during the startup phase of the rotating machine is estimated.

[0034] by figure 1 It can be seen that the working model of the tested rotating machine is established on the test bench 1: the rotating shaft of the rotor test bench is the reference shaft 2; the rotor 3 is installed on the reference shaft 2;...

Embodiment 2

[0037] Rotating machine under test: L504C horizontal screw centrifuge, working frequency is 55Hz

[0038] Dynamic signal analyzer: OROS R3.4 dynamic signal analyzer

[0039] Sensor for measuring the vibration of the bearing: Bentley speed sensor 9200, sensitivity 20mv / mm / s

[0040] Non-contact eddy current displacement sensor: produced by Southeast Instrument Factory, sensitivity 8v / mm

[0041] Photoelectric sensor: produced by Southeast Instrument Factory

[0042] Computer: CPU is Pentium or above, memory is not less than 256M, 1G remaining hard disk space

[0043] Application Software: Rotating Machinery Order Analysis Software (OrdTra)

[0044] In this embodiment, the instantaneous frequency of the reference shaft during the shutdown phase of the rotating machine is estimated.

[0045] by image 3 It can be seen that the establishment of the working model of the tested rotating machine on the test bench 1 is to connect the measured shaft 2 (take the big end as an example) with ...

Embodiment 3

[0048] The realization process of Viterbi algorithm

[0049] According to the requirements of sampling frequency and calculation accuracy, the frequencies obtained by STFT time-frequency analysis are equally divided into M groups, and the reference axis working frequency is taken as the starting frequency point. According to the N time points obtained by STFT analysis in the startup phase, from t N To t 0 Calculation; according to the N time points obtained by STFT analysis during the shutdown phase from t 0 To t N Calculation. Establish a grid surface of N time points and M groups of frequency points during start-up and shutdown;

[0050] In a grid surface composed of N time points and M groups of frequency points, find the optimal path from the optimal frequency point corresponding to the first time point to the optimal frequency point corresponding to the last time point.

[0051] For any time interval n∈[n i , N i+1 ], n i , N i+1 All paths between belong to K. n i , N i+1 The...

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Abstract

The invention relates to a non-stationery vibration signal instantaneous frequency estimation algorithm in a start and stop period of rotating machinery; firstly, an experiment table working model of a rotor of the rotating machinery is built, a non-stationery vibration signal sensor for measuring vibration signal, and a photo-electric sensor for measuring the rotating speed of a reference axis are arranged along the horizontal and vertical direction of the reference axis; after the obtained signal is analyzed by an order analysis software of an upper computer through a dynamic signal analyzer, STFT time-frequency spectrum containing multi-level component is obtained; the working frequency of the rotating machinery is used as an estimated starting frequency point, according to the requirements of sampling frequency and calculation accuracy, the frequency obtained by the STFT time-frequency analysis is equally divided into M groups, the start and stop period is equally divided into N time points for building grid meshes of N time points and M groups of frequency points; the route of minimum-deviation frequency point from the start point to the stop point is computed through Viterbi algorithm, after fitting is carried out, the instantaneous frequency estimation function value of the reference axis of the non-stationery vibration signal of the rotating machinery in the start and stop period is obtained.

Description

Technical field [0001] The invention relates to an instantaneous frequency estimation algorithm for a non-stationary vibration signal of a rotating machine at the start and stop stage, and is an instantaneous frequency estimation algorithm for a rotating machine vibration signal based on the Viterbi algorithm. Background technique [0002] Rotating machinery fault diagnosis is an emerging technology that has developed rapidly at home and abroad in recent years. It has broad application prospects in rotating machinery and equipment such as engines, gas turbines, generators, and blowers in the aviation, large petroleum, electric power, and chemical industries. The research and application of large-scale rotating machinery vibration monitoring and diagnosis system is of great significance to avoid huge economic losses and disasters. In the process of fault diagnosis, especially in the non-stationary start-stop phase, the most important, critical and difficult problem is the extracti...

Claims

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Application Information

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IPC IPC(8): G01H1/06G01H1/14G01H11/06
Inventor 赵晓平侯荣涛薛胜军
Owner NANJING UNIV OF INFORMATION SCI & TECH
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