PATENT CLAIM ANALYSIS

Application Number: 15958246
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["702", "182000"]

Abstract:
A method for evaluating power characteristics of wind turbines, an apparatus and a storage medium. By means of verifying master control operating data of the wind turbines (1), correcting nacelle wind speed data (2), and calculating a power curve of the wind turbines and a guarantee value for the power curve, a wind turbine power characteristics evaluation result (3) is obtained. The present method economically and efficiently evaluates a power characteristics curve for wind turbines, makes full use of existing operating data of the wind turbine master control system, and performs evaluation of the power characteristics of wind turbines of a same model in a wind farm. The method ensures accuracy and test efficiency, and controls test times within one month, thereby ensuring the reliability and high efficiency of the wind turbines.

Claim (Index 15):
The non-transitory storage medium according to  claim 14 , wherein measuring the wind velocity and wind direction signals on the anemometer tower comprises:\n mounting a cup anemometer and a wind vane on the anemometer tower, and measuring, by the cup anemometer and the wind vane, the wind velocity and wind direction signals; or mounting a Lidar on the anemometer tower, and measuring, by the Lidar, the wind velocity and wind direction signals.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.14286
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12447505', '14000602', '14020754', '15622317', '11295275']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2316306507811524
- 35 USC 102 Novelty (BERT): 0.4971200924313609
- Combined Prediction Score: 0.2581795949461732
- Mean Citation Score: 232.010922
- Max Citation Score: 239.52399
- Similarity Product: 167.37564453812956

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test