Conditional monitoring and fault detection of wind turbines based on Kolmogorov–Smirnov non-parametric test

参数统计 风力发电 科尔莫戈洛夫-斯米尔诺夫试验 故障检测与隔离 断层(地质) 考试(生物学) 海洋工程 可靠性工程 计算机科学 工程类 统计 数学 人工智能 统计假设检验 地质学 电气工程 地震学 古生物学 执行机构
作者
Olayinka S. Ohunakin,Emerald U. Henry,Olaniran J. Matthew,Victor U. Ezekiel,Damola S. Adelekan,Ayodele T. Oyeniran
出处
期刊:Energy Reports [Elsevier BV]
卷期号:11: 2577-2591 被引量:4
标识
DOI:10.1016/j.egyr.2024.01.081
摘要

This research presents a new method for conditional monitoring based on the wind turbine power curve. The Kolmogorov-Smirnov (K-S) distribution test is employed in the assessment of turbine data and the detection of abnormality (faults) in wind turbines. The process begins with anomaly detection and filtration of faulty SCADA data by a quantile-based filtration approach. Suitable data comprising wind speed, air density, ambient temperature, and pitch angle are utilized in the development of wind turbine power curve models that represents actualities within wind farms. The radial basis function (RBF), multi-layer Perceptron (MLP), and gradient boosting (GBR) methods utilized for model development are compared for predictive accuracy using Mariano-Preve test. The null hypothesis assumes equal predictive ability (EPA); if rejected, an algorithm compares the coefficients of correlation of the models and selects the closest to one (unity). The most accurate model is utilized for the creation of a bin-wise distribution from past data, and bin-wise confidence levels from the plot of wind speed and output power. Cochran's method was utilized to validate the minimum sample size that will possess a sampling distribution similar to that of the population, and a fault is detected if there is a reasonable difference between the sample distribution and population distribution. The K-S test, having a null hypothesis of equivalent distributions, signals a fault if the null hypothesis is rejected. Two wind turbine SCADA datasets associated with two fault events are used for the assessment of our method. The results indicate that our method effectively discovers abnormalities in power output relating to increased bearing temperature and reduced generator rpm, thereby aiding in the detection of faults long before they occur.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
深情安青应助丁昆采纳,获得10
刚刚
中科院饲养员完成签到,获得积分10
刚刚
1秒前
djy完成签到,获得积分20
1秒前
1秒前
1秒前
zyn完成签到,获得积分10
2秒前
脑洞疼应助liuyf采纳,获得10
3秒前
3秒前
会咩的嘉人璐完成签到,获得积分10
4秒前
安静雅阳发布了新的文献求助10
4秒前
4秒前
充电宝应助喏晨采纳,获得10
4秒前
华仔应助Augenstern采纳,获得10
4秒前
5秒前
5秒前
端庄的蜡烛应助ZXM采纳,获得10
5秒前
lifengxia发布了新的文献求助10
6秒前
默默的芙完成签到,获得积分10
7秒前
小狗熊吖i发布了新的文献求助10
7秒前
8秒前
飞羽完成签到,获得积分10
8秒前
ZGZ123完成签到,获得积分10
9秒前
无心的怜烟完成签到,获得积分10
9秒前
9秒前
lorentzh发布了新的文献求助10
9秒前
9秒前
嬛嬛发布了新的文献求助10
9秒前
Rainbow发布了新的文献求助10
11秒前
12秒前
量子星尘发布了新的文献求助10
13秒前
smottom应助Yolo采纳,获得10
14秒前
14秒前
狗大王发布了新的文献求助10
15秒前
XYJ发布了新的文献求助10
15秒前
16秒前
希望天下0贩的0应助嬛嬛采纳,获得10
16秒前
星海进完成签到,获得积分10
17秒前
18秒前
情怀应助安静雅阳采纳,获得10
19秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3971277
求助须知:如何正确求助?哪些是违规求助? 3515939
关于积分的说明 11180280
捐赠科研通 3251061
什么是DOI,文献DOI怎么找? 1795664
邀请新用户注册赠送积分活动 875937
科研通“疑难数据库(出版商)”最低求助积分说明 805209