Fault diagnosing system and method for wind generation set

A fault diagnosis system and a technology for wind turbines, applied in the field of signal filtering, can solve the problems of large signal frequency changes, not satisfying the sampling theorem, complex system algorithms, etc., achieving small signal frequency changes, good anti-aliasing tracking filtering effect, system The effect of simple algorithm

Active Publication Date: 2015-03-11
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
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Problems solved by technology

[0006] In addition, the traditional fault diagnosis system cannot accurately diagnose the faults of wind turbines, and there are still many defects in the fault diagnosis systems and methods of wind turbines currently on the domestic market: 1. The system algorithm is complex; 2. The spectrum obtained by sampling contains high The aliasing

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  • Fault diagnosing system and method for wind generation set
  • Fault diagnosing system and method for wind generation set
  • Fault diagnosing system and method for wind generation set

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[0068] From image 3 It can be seen that the frequency of the fundamental frequency signal of the rotating shaft changes rapidly, which is used to simulate the speed change (rapid change) when the actual wind turbine starts and stops and the actual speed fluctuation under constant speed control conditions. image 3 each from 0 - to 0 + The time point of the simulation is the time point when the actual shaft rotates exactly one circle. due to the adjacent 0 - to 0 + The interval between the time points is different (because the speed changes), so the time for each revolution of the shaft also changes.

[0069] From Figure 4 It can be seen that due to the strong background noise and various related synchronous / asynchronous signals in the original simulation signal, coupled with the rapid change of the rotational speed, it is difficult to distinguish the regular information contained in the original signal in the time domain diagram.

[0070] Figure 5 yes Figure 4 The ...

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Abstract

The invention discloses fault diagnosing system and method for a wind generation set. The system comprises the wind generation set, a vibration sensor, a rotating speed sensor and a signal acquiring card and computer signal processing system. The method comprises the steps of (1), generating a vibration simulating signal of the wind generation set; (2) setting initializing parameters; (3) treating a zero crossing point of a baseband signal of a rotating shaft as a key phase signal of the actual wind generation set; (4) determining whether to conduct variable upper limit type anti-aliasing filtering tracking for a composite vibration signal; (5) re-sampling the time; (6) re-sampling vibration signal amplitude; (7) calculating time domain synchronizing average value; (8) repeating steps from (4) to (7); and (9) comparing different results above. The fault diagnosing system and method for the wind generation set have the advantages that the anti-aliasing filtering tracking effect is obvious, an effective data processing method is provided for the fault diagnosing of the wind generation set, and the safe connection of the wind generation set in a grid and the safe operation of an intelligent micro-grid with the wind generation set are ensured.

Description

technical field [0001] The invention relates to the field of signal filtering, in particular to a wind turbine fault diagnosis system and method based on variable upper limit anti-aliasing tracking filter order analysis. Background technique [0002] In the context of the country's vigorous development of smart grids, wind power, as an important part of smart grids, has developed rapidly. With the increasing proportion of wind power capacity in regional power grids, while wind power has brought us many benefits, it has also brought some adverse effects, including: it may seriously affect the power quality and the safe and stable operation of the power system , and may endanger conventional power generation, which is mainly manifested in large fluctuations in voltage and frequency. What's more serious is that when wind turbines are out of operation on a large scale due to excessive wind speed or a large instantaneous drop in grid voltage, it will cause unbearable large-scale...

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Application Information

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IPC IPC(8): G01R31/34
Inventor 李鹏杨苹郭晓斌许爱东雷金勇周少雄许志荣黄焘于力喻磊马溪原申展
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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