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Wavelet analyzer

An analyzer and processing unit technology, applied in the field of signal analyzers, can solve the problems of only understanding the global characteristics of the signal, and cannot give the change law of the signal spectrum time, etc., and achieve the effect of light and handy instrument, easy operation and accurate diagnosis

Inactive Publication Date: 2009-04-01
鞠培刚
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AI Technical Summary

Problems solved by technology

Fourier analysis is either completely performed in the time domain or completely analyzed and processed in the frequency domain, which cannot give the law of how the signal spectrum changes with time
For the non-stationary signal, because its spectrum changes greatly with time, the analysis method is required to accurately reflect the local time-varying spectral characteristics of the signal, only to understand the global characteristics of the signal in the time domain or frequency domain is far from enough

Method used

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  • Wavelet analyzer
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Embodiment Construction

[0014] exist figure 1 Types, wavelet noise reduction (1), wavelet decomposition (2), wavelet reconstruction (3), wavelet time-frequency diagram (4), wavelet neural network (5), intelligent diagnosis (6) are real-time analysis modules, through these modules We can process the collected signals in real time and get the fault characteristics in time; the RESERT key (7) is used to deal with the system re-running when the system is abnormal; the BACK key (8) is used to deal with the parameter editing on the screen , to eliminate unnecessary characters; the purpose of the ESC key (9) is to make the program return to the previous menu; point-by-point movement (10) (11) is used to process the cursor movement of a point (press the key once to move the cursor one point); Rapid movement (12) (13) is mainly to be used for processing cursor rapid movement (key does not lift, and cursor jumps and moves rapidly); Also known as the Enter key, it confirms the result of screen parameter editin...

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Abstract

A wavelet analyzer aiming at non-stationary signal is provided. The wavelet analyzer mainly comprises a real-time processing unit and a post processing unit. A memory card of the real-time processing unit can be used for storing signal in a real time manner and carrying out real-time analysis treatment to the stored signal by a real-time processing module. As for large-capacity signal, the signal can be transmitted to a host computer by serial communication to carry out post treatment due to the capability limitation of the memory card.

Description

Technical field [0001] The invention relates to a signal analyzer, especially for the analysis of non-stationary signals and the fault diagnosis of non-stationary equipment. Background technique [0002] Common analyzers use Fourier transform for signal processing. Fourier analysis is either completely performed in the time domain or completely analyzed and processed in the frequency domain, which cannot give the law of how the signal spectrum changes with time. For the non-stationary signal, because its spectrum changes greatly with time, the analysis method is required to accurately reflect the local time-varying spectral characteristics of the signal, only to understand the global characteristics of the signal in the time domain or frequency domain is far from enough. Contents of the invention [0003] Aiming at the above-mentioned shortcomings of the prior art, the present invention adopts wavelet analysis theory combined with LabVIEW platform to develop a set of fas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08C19/00
Inventor 鞠培刚
Owner 鞠培刚
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