公开(公告)号：US20180180022A1

公开(公告)日：2018-06-28

申请号：US15550330

申请日：2016-02-12

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Torben Ladegaard BAUN ,  Erik Carl Lehnskov MIRANDA

IPC: F03D7/02 ,  F03D1/02

Abstract: The invention is directed to a wind turbine system comprising a first pair of wind turbines mounted to a support structure by a first support arm arrangement, and a second pair of wind turbines mounted to the support structure by a second support arm arrangement. The first and second support arm arrangements are mounted to the support structure at a respective yaw unit so as to yaw about the major axis of the support structure. Moreover, the wind turbine system further includes a control system that is configured to control the yaw angle of each of the first and second support arm arrangements, wherein the control system is configured to identify the presence of a predetermined shutdown condition and, in response, the control system is operable to control the yaw angles of the first support arm arrangement and the second support arm arrangement to a predetermined safe state.

公开(公告)号：US20150354402A1

公开(公告)日：2015-12-10

申请号：US14763648

申请日：2013-02-14

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Saed EHSANI ,  Erik Carl Lehnskov MIRANDA ,  Ib Svend OLESEN ,  Martin Møller SØRENSEN

IPC: F01D21/00 ,  F01D21/14

CPC classification number: F01D21/003 ,  F01D21/14 ,  F03D17/00 ,  F05B2270/331 ,  F05B2270/332 ,  F05B2270/708

Abstract: To identify abnormal behavior in a turbine blade, a failure detection system generates a “fingerprint” for each blade on a turbine. The fingerprint may be a grouping a dynamic, physical characteristics of the blade such as its mass, strain ratio, damping ratio, and the like. While the turbine is operating, the failure detection system receives updated sensor information that is used to determine the current characteristics of the blade. If the current characteristics deviate from the characteristics in the blade's fingerprint, the failure detection system may compare the characteristics of the blade that deviates from the fingerprint to characteristics of another blade on the turbine. If the current characteristics of the blade are different from the characteristics of the other blade, the failure detection system may change the operational mode of the turbine such as disconnecting the turbine from the utility grid or stopping the rotor.

Abstract translation: 为了识别涡轮叶片中的异常行为，故障检测系统为涡轮机上的每个叶片生成“指纹”。 指纹可以是叶片的动态，物理特性，例如其质量，应变比，阻尼比等。 当涡轮机运行时，故障检测系统接收用于确定叶片的当前特性的更新的传感器信息。 如果当前的特性偏离了刀片指纹的特征，则故障检测系统可以将偏离指纹的刀片的特性与涡轮机上另一个刀片的特性进行比较。 如果叶片的当前特性与其他叶片的特性不同，则故障检测系统可改变涡轮机的操作模式，例如将涡轮机与公用电网断开连接或停止转子。