Applications and modeling techniques of wind turbine power curve for wind farms—A review
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning
A population‐level analysis is proposed to address data sparsity when building predictive
models for engineering infrastructure. Utilizing an interpretable hierarchical Bayesian …
models for engineering infrastructure. Utilizing an interpretable hierarchical Bayesian …
[HTML][HTML] On the hierarchical Bayesian modelling of frequency response functions
Structural health monitoring (SHM) strategies seek to evaluate, predict, and maintain
structural integrity, to improve the safety and design service life of structures in operation …
structural integrity, to improve the safety and design service life of structures in operation …
Wind turbine condition monitoring based on three fitted performance curves
Based on SCADA data, this study aims at fitting three performance curves (PCs), power
curve, pitch angle curve, and rotor speed curve, to accurately describe the normal behaviour …
curve, pitch angle curve, and rotor speed curve, to accurately describe the normal behaviour …
[HTML][HTML] Assessing structural homogeneity and heterogeneity in offshore wind farms: A population-based structural health monitoring approach
This paper presents an in-depth analysis of population-based structural health monitoring
applied to offshore wind farms, with a specific focus on a real wind farm. The study quantifies …
applied to offshore wind farms, with a specific focus on a real wind farm. The study quantifies …
[HTML][HTML] On population-based structural health monitoring for bridges: Comparing similarity metrics and dynamic responses between sets of bridges
Bridges are valuable infrastructure assets that are challenging and expensive to maintain.
State-of-the-art data-based bridge SHM solutions look to use bridge response data for …
State-of-the-art data-based bridge SHM solutions look to use bridge response data for …
[HTML][HTML] Modelling variability in vibration-based PBSHM via a generalised population form
Structural health monitoring (SHM) has been an active research area for the last three
decades, and has accumulated a number of critical advances over that period, as can be …
decades, and has accumulated a number of critical advances over that period, as can be …
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
We suggest a multilevel model, to represent aggregate train-passing events from the
Staffordshire bridge monitoring system. We formulate a combined model from simple units …
Staffordshire bridge monitoring system. We formulate a combined model from simple units …
A population form via hierarchical Bayesian modelling of the FRF
Population-based structural health monitoring (PBSHM) aims to share information among
members of a population. When the population is comprised of nominally identical …
members of a population. When the population is comprised of nominally identical …
[HTML][HTML] 基于IR-BIN 算法的风功率曲线构建方法及应用研究
李进友， 庞秋芳， 覃利华， 李熙春… - Advances in Applied …, 2024 - hanspub.org
针对海量风电数据下风电机组异常数据处理, 功率曲线模型构建精度低等问题, 提出一种基于IR-
BIN 算法的风功率曲线模型构建算法. 首先, 为了降低风电机组异常数据对风功率曲线模型准确 …
BIN 算法的风功率曲线模型构建算法. 首先, 为了降低风电机组异常数据对风功率曲线模型准确 …