Wind turbine failure early warning method based on normalization
A wind turbine and fault early warning technology, which is applied in the field of wind turbine fault warning based on normalization
Active Publication Date: 2015-11-18
ZHONGNENG POWER TECH DEV
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Problems solved by technology
[0002] There are endless studies on wind turbine operating status assessment and early warning methods, but some studies are only conducted on traditional operating parameters of wind turbines (wind speed, generator power, speed, gearbox oil temperature, bearing temperature, and generator voltage and current parameters, etc.). State assessment; another part of the research only conducts state assessment on the vibration signal of the mechanical transmission part of the unit, while the assessment of the comprehensive state of the wind turbine should be an organic combination of the traditional operating parameters of the unit and the vibration signal of the mechanical transmission part. At the same time, wind power should also be considered The operating characteristics of the generator set in variable working conditions can accurately evaluate the state of the unit. Obviously, the existing technology cannot meet the requirements
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[0029] The normalization-based fault early warning method for wind turbines provided by the present invention can realize automatic evaluation of faults in wind turbines and perform early warnings based on fault levels.
[0030] like figure 1 As shown, the methods include:
[0031] Step 10: Build a fault model.
[0032] The main working parts of the wind turbine are blades, main shaft, gearbox and generator. Therefore, when collecting parameters, it is necessary to collect at least the working parameters of the above four parts. Establish the corresponding relationship between the fault state and the collected working parameters based on experience, as shown in Table 1, each fault state FAULT i (i=1, 2...n) all correspond to one or several working parameters INDEX ij Range (j=1, 2...n). Preferably, for each type of fault, there is a processing measure MEASUR i (i=1, 2...n).
[0033]
[0034]
[0035]
[0036] Table 1
[0037] Step 20: collect the working parame...
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The invention provides a wind turbine generation unit fault early warning method based on normalization. The wind turbine generation unit fault early warning method based on normalization comprises the steps that A, a fault model of a wind turbine generation unit is established; B, work parameters of the wind turbine generation unit are collected, normalization processing is conducted, a fault condition level is determined according to the fault model, and early warning is given according to the level. According to the wind turbine generation unit fault early warning method based on normalization, a level of a fault occurs in the wind turbine generation unit can be automatically evaluated and early warning is given according to the fault level.
Description
technical field [0001] The invention relates to the technical field of wind turbine automation, in particular to a normalization-based fault warning method for wind turbines. Background technique [0002] There are endless studies on wind turbine operating status assessment and early warning methods, but some studies are only conducted on traditional operating parameters of wind turbines (wind speed, generator power, speed, gearbox oil temperature, bearing temperature, and generator voltage and current parameters, etc.). State assessment; another part of the research only conducts state assessment on the vibration signal of the mechanical transmission part of the unit, while the assessment of the comprehensive state of the wind turbine should be an organic combination of the traditional operating parameters of the unit and the vibration signal of the mechanical transmission part. At the same time, wind power should also be considered The operating characteristics of the gene...
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IPC IPC(8): G01R31/34
Inventor 周继威张宝全韩明朱志成王栋张波张林李力怀吴金城和军梁张敏刘锦如张国珍申烛余忠源徐长安
Owner ZHONGNENG POWER TECH DEV