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 1):
A power performance evaluation method for a wind turbine generator, adapted to evaluate power performance of the wind turbine generator in a wind power plant, the wind turbine generator being connected with a master control system of the wind turbine generator and a wind turbine generator controller to evaluate the power performance of the wind turbine generator, the method comprising:\n verifying master control operation data of the wind turbine generator; correcting a nacelle wind velocity data; and calculating a wind turbine generator power curve and a power curve guarantee value, and obtaining a power performance evaluation result of the wind turbine generator.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.14286
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12447505', '14000602', '14020754', '15622317', '11295275']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2137566091620487
- 35 USC 102 Novelty (BERT): 0.4778283295786392
- Combined Prediction Score: 0.2401637812037078
- Mean Citation Score: 232.010922
- Max Citation Score: 239.52399
- Similarity Product: 206.98506703730823

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