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Wind turbine 1p signal identification method, device, terminal and computer-readable storage medium based on continuous monitoring

A signal identification and fan technology, applied in the direction of measuring devices, vibration testing, machine/structural component testing, etc., can solve problems such as difficult signal identification and observation, and achieve significant effectiveness and identification accuracy

Active Publication Date: 2020-04-14
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the online monitoring system is mostly used to monitor the 3p (three times the speed excitation frequency), 6p (six times the speed excitation frequency) and other signals of the fan. It is difficult to effectively identify and observe the 1p (one time speed excitation frequency) signal, which has obvious advantages. defect

Method used

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  • Wind turbine 1p signal identification method, device, terminal and computer-readable storage medium based on continuous monitoring
  • Wind turbine 1p signal identification method, device, terminal and computer-readable storage medium based on continuous monitoring
  • Wind turbine 1p signal identification method, device, terminal and computer-readable storage medium based on continuous monitoring

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Experimental program
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Embodiment 1

[0058] see figure 1 , this embodiment provides a continuous monitoring-based fan 1p signal recognition method, the method includes steps A to E:

[0059] Step A: Obtain the structural dynamic response of the fan 300 . Wherein, the structural dynamic response refers to the velocity, acceleration, displacement, etc. generated by the fan 300 under the action of the dynamic load. In practical applications, the structural dynamic response to be obtained may be an acceleration signal collected by an acceleration sensor, or a velocity signal or a displacement signal measured by a displacement sensor. .

[0060] Exemplarily, in this embodiment, the structural dynamic response of the fan 300 is an acceleration response. see figure 2 , under continuous monitoring conditions, step A may include steps A1-A2:

[0061] Step A1: Determine the time-invariant period of the fan 300 . Wherein, the time-invariant period is determined according to the rotational speed of the fan 300 , the p...

Embodiment 2

[0080] see Figure 10 , this embodiment provides a fan 1p signal identification device 100 based on continuous monitoring, the device includes:

[0081] An acquisition module 110, configured to acquire the structural dynamic response of the wind turbine 300;

[0082] Decomposition module 120, configured to decompose the structural dynamic response of the wind turbine 300 into several eigenmode functions;

[0083] A transformation module 130, configured to transform each eigenmode function to obtain a corresponding instantaneous frequency, and calculate the mean value of the instantaneous frequency of each eigenmode function;

[0084] The screening module 140 is configured to use the eigenmode function whose instantaneous frequency mean value is located in the low frequency range as the effective eigenmode function, and use the sum of the effective eigenmode functions as the target eigenmode function, The low frequency range is a frequency range lower than 1 Hz;

[0085] The...

Embodiment 3

[0095] see Figure 13 , the present embodiment provides a terminal 200, the terminal 200 includes a memory 210 and a processor 220, the memory 210 is used to store a computer program, and the processor 220 executes the computer program so that the terminal 200 realizes the wind turbine 1p based on continuous monitoring as described above Signal recognition method.

[0096] Wherein, the terminal 200 includes terminal devices (such as computers, servers, etc.) that do not have mobile communication capabilities, and also includes mobile terminals (such as smart phones, tablet computers, vehicle-mounted computers, smart wearable devices, etc.).

[0097] The memory 210 may include an area for storing programs and an area for storing data. Wherein, the storage program area can store the operating system, at least one application program required by the function (such as sound playback function, image playback function, etc.); the storage data area can store data created according t...

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Abstract

A continuous monitoring-based method for identifying a 1p signal of a wind turbine, comprising: acquiring the structural dynamics response of a wind turbine (A); decomposing the structural dynamics response of the wind turbine into several intrinsic mode functions (B); transforming each intrinsic mode function so as to obtain the instantaneous frequency corresponding to said function, and calculating the instantaneous frequency average for each intrinsic mode function (C); treating intrinsic mode functions of which the instantaneous frequency average is in a low frequency segment as valid intrinsic mode functions, and using the sum of said valid intrinsic mode functions as the target intrinsic mode function, said low frequency segment being a frequency range below 1Hz (D); identifying the frequency corresponding to the target intrinsic mode function and establishing a stability graph, and extracting the 1p frequency on the basis of the stability graph (E). Also disclosed is a continuous monitoring-based device for identifying a 1p signal of a wind turbine, comprising an acquisition module (110), a decomposition module (120), a transformation module (130), a screening module (140), and an identification module (150). Also disclosed are a continuous monitoring-based terminal and computer readable storage medium for identifying a 1p signal of a wind turbine. The present5 invention can effectively identify a 1p signal and extract the 1p frequency, thereby providing effective and reliable automated means for wind turbine structure monitoring.

Description

technical field [0001] The invention belongs to the technical field of fan modal analysis, and specifically relates to a method, device, terminal and computer-readable storage medium for identifying fan 1p signals based on continuous monitoring. Background technique [0002] With the improvement of people's awareness of environmental protection and the increasing demand for clean energy, the wind power industry has ushered in a good opportunity for development. Wind turbines are mostly built in wilderness and uninhabited areas, where the wind speed is high and the environment is harsh, making it difficult to reach the site for maintenance. Especially for offshore wind turbines, the environment is harsher and more difficult to access, making measurement and maintenance a huge challenge. [0003] In order to realize the continuous monitoring of wind turbines, some online monitoring systems came into being. At present, the online monitoring system is mostly used to monitor th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M7/02G01M99/00
CPCG01M7/02G01M99/005
Inventor 胡卫华滕军张笑
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL