PATENT CLAIM ANALYSIS

Application Number: 15950710
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-01
Patent Classification: ["700", "275000"]

Abstract:
Embodiments of the present disclosure include a data processing and control augmentation system capable of identifying overloading of one or more wind turbine assemblies and providing information to a wind farm controller to reduce a power output of each overloaded turbine. The augmentation system thus reduces the power output of each overloaded turbine and, in turn, reduces loads applied to the wind turbine assembly, such as for a period of time until conditions favorably change. A described analysis of the present disclosure is able to utilize several incoming data streams from sensors so arranged to measure wind effects on blades to calculate and compare cyclic loads to threshold limits to o keep the loads within design limits. The control strategy reduces premature failure of components within the wind turbine assembly, and can be applied across an entire wind farm, even with only a subset of wind turbine assemblies being retrofitted.

Claim (Index 19):
The system of  claim 16  wherein the data processing system is further configured to obtain an operating state of the wind turbine assembly; and wherein the auxiliary control input signal is a function of the calculated characteristic of the cyclic load and the obtained operating state of the wind turbine assembly.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 1.72826
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12570846', '14406409', '13576235', '13737406', '13787882']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4654961941515277
- 35 USC 102 Novelty (BERT): 0.4878690012495329
- Combined Prediction Score: 0.4677334748613282
- Mean Citation Score: 240.09460200000004
- Max Citation Score: 246.55283
- Similarity Product: 188.1796235855448

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

Dataset: test