The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 24, 2020

Filed:

Jun. 04, 2018
Applicant:

Mitsubishi Heavy Industries, Ltd., Tokyo, JP;

Inventors:

Hiroyoshi Kubo, Tokyo, JP;

Kazunari Ide, Tokyo, JP;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
F03D 17/00 (2016.01); G01R 21/00 (2006.01); G01L 1/24 (2006.01); F03D 7/04 (2006.01);
U.S. Cl.
CPC ...
F03D 17/00 (2016.05); F03D 7/048 (2013.01); G01L 1/242 (2013.01); G01R 21/001 (2013.01); F05B 2260/80 (2013.01); F05B 2270/335 (2013.01); F05B 2270/808 (2013.01);
Abstract

An abnormality monitoring apparatus for a wind farm includes: a parameter obtaining part configured to obtain a power generation parameter related to power generation of the wind turbine power generating apparatus and a strain parameter measured by a sensor mounted to a wind turbine blade of the wind turbine power generating apparatus; a member candidate extraction part configured to extract at least two of the wind turbine power generating apparatuses in which a correlation between the power generation parameters of the at least two wind turbine power generating apparatuses is not smaller than a first predetermined value, and a correlation between the strain parameters of the at least two wind turbine power generating apparatuses is not smaller than a second predetermined value; a monitoring group setting part configured to set at least two of the wind turbine power generating apparatuses; and a group monitoring part configured to perform abnormality monitoring.


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