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Fault monitoring method and device for wind turbine

A wind turbine and fault monitoring technology, applied in the field of monitoring, can solve problems such as fault monitoring results are not intuitive enough, achieve the effect of reducing fault hazards and reducing experience requirements

Active Publication Date: 2018-07-27
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a wind turbine fault monitoring method and device, which are used to solve the technical problem that the fault monitoring results in the prior art are not intuitive enough

Method used

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  • Fault monitoring method and device for wind turbine
  • Fault monitoring method and device for wind turbine
  • Fault monitoring method and device for wind turbine

Examples

Experimental program
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Effect test

Embodiment 1

[0025] figure 1 A schematic flow chart of a wind turbine fault monitoring method provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the methods include:

[0026] Step 101, perform fault identification on components in the wind turbine.

[0027] Specifically, first install vibration, sound, temperature and imaging sensors on the components of the wind turbine, and use these sensors to collect the sensing data sets of the components. Among them, the sensing data set includes vibration parameters, sound parameters, temperature parameters and image parameters. Send the sensing data sets collected by the sensors to the industrial computer through the programmable logic controller (ProgrammableLogic Controller, PLC), and further upload these sensing data sets to the AWS cloud through the industrial computer, where AWS is a cloud service platform , so as to analyze and process the sensing data set on the AWS cloud to determine whether the parts corre...

Embodiment 2

[0064] figure 2 It is a schematic flowchart of a wind turbine fault monitoring method provided in Embodiment 2 of the present invention. The fault monitoring method in this embodiment can be for all components in the wind turbine, or only for one or more components in the wind turbine. The components in the system are not limited in this embodiment, such as figure 2 shown, including:

[0065] Step 201, the sensor collects the sensing data set of the component, and uploads it to the AWS cloud through the PLC controller and the industrial computer in sequence.

[0066] Among them, the sensing data set includes but not limited to: vibration, sound, temperature and image parameters.

[0067] Step 202, AWS cloud performs data analysis according to the sensing data set.

[0068] Specifically, the AWS cloud performs data analysis based on sensory data sets to identify faults in components. image 3 Flowchart for data analysis on the AWS cloud, such as image 3 shown, including...

Embodiment 3

[0108] Figure 6 A schematic structural diagram of a wind turbine fault monitoring device provided in Embodiment 3 of the present invention, as shown in Figure 6 As shown, it includes: an identification module 61 and a presentation module 62 .

[0109] The identification module 61 is used for identifying faults of components in the wind turbine.

[0110] The presenting module 62 is configured to present the identified faults by using the three-dimensional models of the components.

[0111] further, Figure 7 A schematic structural diagram of another wind turbine fault monitoring device provided in Embodiment 3 of the present invention, as shown in Figure 7 shown in Figure 6 On the basis of , the recognition module 61 includes: an input unit 601 and a determination unit 602 .

[0112] The input unit 601 is used for inputting the sensing data sets of parts and components collected by the sensor into the state mode functions corresponding to each state, so as to obtain ea...

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Abstract

The invention provides a fault monitoring method and device for wind turbines. After identifying the faults of the components in the wind turbines, for the identified faults, the three-dimensional model of the components is used to present the faults, so that fault monitors can Observing the faults of components intuitively is not only beneficial to take effective fault handling measures before minor faults evolve into serious faults, thereby reducing the damage of faults, but also reduces the experience requirements for fault monitoring personnel and avoids the problems in the existing technology. Fault monitoring personnel rely on personnel experience to analyze the two-dimensional curve to identify whether there is a fault in the process of the component.

Description

technical field [0001] The invention relates to monitoring technology, in particular to a method and device for wind turbine failure monitoring. Background technique [0002] With the rapid development of wind power generation, wind turbines have been widely used. However, in the application process of wind turbines, some faults will inevitably occur. How to effectively monitor the faults to ensure the normal operation of wind turbines has become an urgent problem to be solved. [0003] For the fault monitoring of wind turbines, at present, only the two-dimensional curve results obtained after measuring the components in the wind turbine can be given. The component failures reflected by this two-dimensional curve are not intuitive enough, and often require experienced Fault monitoring personnel rely on human experience to analyze the two-dimensional curves to identify whether a component has a fault. Contents of the invention [0004] The invention provides a wind turbin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M15/00G01M13/00G01D21/02
CPCG01D21/02G01M13/00G01M15/00F05B2250/20F05B2260/84F03D17/00F01D15/10
Inventor 乔志强唐新安李康
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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