IP Library › Granted Patent US 12,071,928
Granted Patent B2
US 12,071,928 · App. 17/600,524 · Granted Aug 27, 2024

Condition monitoring system and wind power generation system including the same

Inventor: Hiroyuki Iwanaga (Kuwana, JP)
Assignee: NTN CORPORATION
F03D17/00F05B2260/80F05B2270/304F05B2270/331F05B2270/334F05B2270/404F05B2270/70
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Quick Facts
Patent No.
US 12,071,928
App. No.
17/600,524
Granted
Aug 27, 2024
Kind
B2
Abstract

A condition monitoring system comprises a measurement device and a processing server. The measurement device measures a condition of an apparatus provided for a wind power generation facility. The processing server associates measurement data measured by the measurement device with load data representing an operating load of the wind power generation facility acting at a time when the measurement data is measured and cumulative load data representing a cumulative operating load accumulated up to the time when the measurement data is measured, to generate a data set of the load data, the cumulative load data, and the measurement data for the time when the measurement data is measured.

Claims (20)

1. A condition monitoring system comprising:

a measurement device that measures a condition of an apparatus provided for a facility; and

a processor that generates a data set of i) measurement data representing the condition of the apparatus at a time when the measurement device measured the condition of the apparatus, ii) load data representing an operating load of the facility acting at the time when the measurement device measured the condition of the apparatus, and iii) cumulative load data representing a cumulative operating load accumulated up to the time when the measurement device measured the condition of the apparatus,

wherein the processor:

collects the measurement data and the load data periodically or aperiodically; and

performs data interpolation on a plurality of data sets each generated based on the collected measurement data and load data to generate interpolated three-dimensional data using the cumulative load data, the load data, and the measurement data represented along a first axis, a second axis, and a third axis, respectively.

2. The condition monitoring system according to claim 1 , wherein the processor further:

uses the interpolated three-dimensional data to calculate a relationship between the load data and the measurement data for any past point in time; and

uses the calculated past relationship to estimate a relationship between the load data and the measurement data for a current point in time.

3. The condition monitoring system according to claim 1 , wherein the processor further:

uses the interpolated three-dimensional data to calculate a relationship between the cumulative load data and the measurement data for a plurality of the load data different in magnitude from one another;

uses a result of the calculation to predict a value of the measurement data for any future point in time for each of the plurality of load data; and

uses a result of the prediction to estimate a relationship between the load data and the measurement data for the future point in time.

4. The condition monitoring system according to claim 1 , wherein the processor further:

uses the interpolated three-dimensional data to calculate a relationship between the cumulative load data and the measurement data with the load data set to a predetermined value; and

uses a result of the calculation to predict a magnitude of the cumulative load data for which the measurement data exceeds a threshold value.

5. A wind power generation system comprising:

a wind power generation facility; and

a condition monitoring system according to claim 1 , wherein

the condition monitoring system monitors a condition of an apparatus that is a constituent of the wind power generation facility.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 29, 2022
From: IWANAGA, HIROYUKI
To: NTN CORPORATION
Reel/Frame 059421/0621 →
Priority Claims (1)
JP 2019-069662 · Apr 1, 2019 · national
Continuity (1)
Related Publication 20220213872A1 · Jul 7, 2022