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Hydroelectric generating set state monitoring characteristic signal processing method based on time-frequency conversion

A hydropower unit and monitoring signal technology, applied in the field of signal processing, can solve problems affecting the evaluation of unit performance, poor signal validity and correlation, unreasonable data signal storage, etc., to achieve reduced capacity, strong validity and correlation , the effect of reducing the load

Pending Publication Date: 2022-05-31
NANJING NARI GROUP CORP +2
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Problems solved by technology

[0004] The capacity of time-domain waveform data signal transmission and storage for hydroelectric unit status monitoring is large, and the validity and relevance of the signals are poor, and the storage of data signals is unreasonable, which affects the unit inspectors to evaluate unit performance and diagnose unit failures

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  • Hydroelectric generating set state monitoring characteristic signal processing method based on time-frequency conversion
  • Hydroelectric generating set state monitoring characteristic signal processing method based on time-frequency conversion
  • Hydroelectric generating set state monitoring characteristic signal processing method based on time-frequency conversion

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0029] like Figure 1-4 As shown, a method for processing characteristic signals of hydroelectric unit condition monitoring based on time-frequency conversion includes:

[0030] Obtain the monitoring signal of the status monitoring channel of the hydroelectric unit, and filter the monitoring signal in the set frequency band; judge whether the monitoring signal is real-time waveform data or historical waveform data;

[0031] When the monitoring signal is real-time waveform data, the sampling parameters of the monitoring signal are obtained; the waveform frequency domain characteristic data of the monitoring signal is extracted through the fast Fourier transform module FFT, and it is judged wheth...

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Abstract

The invention discloses a hydroelectric generating set state monitoring characteristic signal processing method based on time-frequency conversion in the field of signal processing, and the method comprises the steps: obtaining a monitoring signal of a hydroelectric generating set state monitoring channel, and judging whether the monitoring signal is real-time waveform data or historical waveform data; when the monitoring signal is real-time waveform data, judging whether waveform frequency domain characteristic data of the monitoring signal exists in a system parameter configuration library or not, and storing the waveform frequency domain characteristic data without the monitoring signal; reading waveform sampling parameters and waveform frequency domain characteristic data of the monitoring signal from a system parameter configuration library; storing and calculating the frequency domain characteristic data of the real-time waveform data or the historical waveform data, and restoring the time domain waveform of the state monitoring channel of the hydroelectric generating set; the load of a calculation and analysis system is reduced, and the capacity of hydroelectric generating set state monitoring time domain waveform data signal transmission and storage is reduced.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for processing characteristic signals of hydroelectric unit state monitoring. Background technique [0002] Processing unit status signals with multi-source, heterogeneous, multi-degree, and massive characteristics is a challenging task, which has become a difficult problem and affects the normal operation of the monitoring system and efficient comprehensive analysis of unit status signals. The existing signal organization and management methods are relatively simple, ignoring the internal relationship between the status signals of different equipment of the unit, and not considering the scale control of massive signals, which brings great challenges to the storage and maintenance of signals, and can no longer meet the requirements of signal analysis and Decision support needs. [0003] At the same time, the organization and management of monitorin...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/14
CPCG06F17/142G06F2218/08G06F2218/12Y02E10/20
Inventor 王琦闫海桥潘伟峰戚士伟洪礼聪刘镖峰朱传古周国建
Owner NANJING NARI GROUP CORP
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