公开(公告)号：US20200271094A1

公开(公告)日：2020-08-27

申请号：US16068030

申请日：2017-01-10

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Lars GLAVIND ,  Kristian KIIB ,  Ib Svend OLESEN ,  Johnny NIELSEN

IPC: F03D7/04 ,  F03D80/80 ,  F03D17/00

Abstract: A yaw sensor for a wind turbine is described. The yaw sensor comprises a rotary switch, configured to be coupled to a yaw drive gearbox of a wind turbine nacelle, the rotary switch being operable to activate and deactivate an electrical contact in dependence on an amount of yaw rotation of the nacelle relative to a start position. The electrical contact is active at a plurality of first yaw rotation ranges with respect to the start position, and inactive at a plurality of second yaw rotation ranges with respect to the start position, the first and second yaw rotation ranges being interleaved, at least some of the first yaw rotation ranges having different lengths from each other and/or at least some of the second yaw rotation ranges having different lengths from each other. The electrical contact generates an electrical signal when active.

公开(公告)号：US20220154693A1

公开(公告)日：2022-05-19

申请号：US17529073

申请日：2021-11-17

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Goncalo Lucas MARCOS ,  Lars GLAVIND ,  Johnny NIELSEN

IPC: F03D7/04 ,  F03D7/02 ,  G01P13/02

Abstract: Systems and methods for estimating a direction of wind incident on a wind turbine, the wind turbine comprising a tower; a rotor-nacelle-assembly (RNA) carried by the tower; a deflection sensor configured to sense a position of the RNA or a deflection of the tower; and a wind direction sensor. One approach includes: obtaining deflection training data from the deflection sensor; obtaining wind direction training data from the wind direction sensor; training a machine learning model on the basis of the deflection training data and the wind direction training data in order to obtain a trained machine learning model; obtaining further deflection data from the deflection sensor; inputting the further deflection data into the trained machine learning model; and operating the machine learning model to output a wind direction estimate on the basis of the further deflection data.

公开(公告)号：US20200332775A1

公开(公告)日：2020-10-22

申请号：US16959125

申请日：2018-12-11

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Johnny NIELSEN ,  Lars GLAVIND

IPC: F03D17/00

Abstract: A method for monitoring a wind turbine comprises monitoring an acoustic signal and/or a vibrational signal within a tower of the wind turbine, analyzing the signal to identify one or more predetermined characteristic indicative of an event within the tower, recognizing the event has occurred based on the predetermined characteristic and generating an output based on the recognized event. The one or more predetermined characteristic being at least one of: an amplitude of the signal, a duration of the signal, a shape of the signal, one or more frequencies present in the signal and an energy of the signal.

公开(公告)号：US20190048848A1

公开(公告)日：2019-02-14

申请号：US16076648

申请日：2017-02-10

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Lars GLAVIND ,  Ib Svend OLESEN ,  Morten THØGERSEN ,  Kristian KIIB ,  Johnny NIELSEN

IPC: F03D7/02

Abstract: A yaw sensor for a wind turbine comprises a plurality of rotary switches, each configured to be coupled to a yaw drive gearbox of a wind turbine nacelle, the rotary switches each being operable to activate and deactivate respective associated electrical contacts in dependence on an amount of yaw rotation of the nacelle relative to a start position.Each electrical contact is active at a plurality of first yaw rotation ranges with respect to the start position, and inactive at a plurality of second yaw rotation ranges with respect to the start position, the first and second yaw rotation ranges being interleaved.