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Wind generation set yaw system on-line monitoring mechanism and fault diagnosis system and method

A technology of wind turbine and yaw system, which is applied in wind engine monitoring, wind power generation, wind engine, etc., and can solve problems such as the inconvenience of wind turbine yaw system

Pending Publication Date: 2018-07-27
GUODIAN UNITED POWER TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] It can be seen that the above-mentioned existing online state monitoring and fault diagnosis system of the wind turbine yaw system obviously still has inconvenience and defects, and needs to be further improved urgently.

Method used

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  • Wind generation set yaw system on-line monitoring mechanism and fault diagnosis system and method
  • Wind generation set yaw system on-line monitoring mechanism and fault diagnosis system and method

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Embodiment Construction

[0071] Reference attached figure 1 As shown, the intelligent fault diagnosis and life assessment system of the wind turbine yaw system of the present invention includes an online monitoring mechanism for the wind turbine yaw system and a PLC collector connected to it.

[0072] The online monitoring mechanism of the wind turbine yaw system includes a data acquisition card and a sensor group connected to it.

[0073] Reference attached figure 2 As shown, the sensor group includes a rotational speed sensor, a current sensor, and a vibration sensor. The current sensor 1 is used to be installed on the yaw motor 2 of the wind turbine to monitor the current value of the yaw motor 2 in real time. The rotational speed sensor 4 is used to be installed on the yaw pinion of the wind turbine to monitor the rotational speed of the yaw bearing 3 of the wind turbine in real time. The vibration sensor 5 is used to be installed on the yaw caliper 6 of the wind turbine to monitor the vibration sig...

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Abstract

The invention discloses a wind generation set yaw system on-line monitoring mechanism comprising a data acquisition card and a sensor set connected with the data acquisition card. The sensor set comprises a rotation speed sensor, an electric current sensor and a vibration sensor. The rotation speed sensor, the electric current sensor and the vibration sensor are used for monitoring wind generationset yaw bearing rotation speed, a yaw motor current value and a yaw caliper vibration signal value in real time. The data acquisition card is used for acquiring real-time monitoring data of the rotation speed sensor, the electric current sensor and the vibration sensor. The invention further discloses a wind generation set yaw system intelligent fault diagnosis and life evaluation system comprising the on-line monitoring mechanism, and a wind generation set yaw system intelligent fault diagnosis and life evaluation method. Real-time monitoring of the yaw motor current, a yaw caliper vibrationsignal and yaw bearing rotation speed by the on-line monitoring mechanism is combined with existing on-line monitoring parameters, a fault diagnosis and evaluation system of data acquisition and extraction and a background data algorithm is formed, and powerful criteria are provided for fault risk and life evaluation by operators.

Description

Technical field [0001] The invention relates to the technical field of wind turbine yaw, in particular to an online monitoring mechanism and fault diagnosis system and method for a wind turbine yaw system. Background technique [0002] With the rapid development of wind power technology and the continuous shortage of domestic high-quality wind resources, large-megawatt and low-speed wind turbines have continuously emerged in recent years, and the development and commissioning of offshore large-megawatt compact units has also achieved substantial Progress. The yaw system is an important subsystem of the wind turbine, which is responsible for the yaw of the wind turbine and the braking of the wind turbine. However, in the modern wind turbine, the yaw system of some early service turbines is more or less. Several faults have been exposed, such as the burning of the yaw motor, the wear of the yaw caliper, and the wear of the small gears of the yaw reducer, and the severe ones such a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00F03D7/02
CPCF03D7/0204F03D17/00F05B2270/329Y02E10/72
Inventor 袁凌褚景春信晶潘磊李英昌员一泽郭新毅孙黎李颖王海龙
Owner GUODIAN UNITED POWER TECH
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