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Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison
Journal article
Li, Yanting, Wang, Peng, Wu, Zhenyu, Su, Yan. Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison[J]. Renewable Energy, 2024, 231, 120919.
Authors:
Li, Yanting
;
Wang, Peng
;
Wu, Zhenyu
;
Su, Yan
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
9.0
/
8.1
|
Submit date:2024/08/05
Collaborative Monitoring
Directional Hotelling T2control Chart
Probabilistic Power Curve
Wind Turbine Performance
Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues
Journal article
Fan, Jinyu, Shu, Lianjie, Yang, Aijun, Li, Yanting. Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues[J]. Journal of Quality Technology, 2021, 53(4), 333-346.
Authors:
Fan, Jinyu
;
Shu, Lianjie
;
Yang, Aijun
;
Li, Yanting
Favorite
|
TC[WOS]:
14
TC[Scopus]:
13
IF:
2.6
/
3.2
|
Submit date:2022/05/13
Statistical Process Control
Two-sample Tests
Eigenvalues Control Chart
A Sparse Leading-Eigenvalue-Driven Control Chart for Phase i Analysis of High-Dimensional Covariance Matrices
Conference paper
Fan, J. Y., Shu, L. J.. A Sparse Leading-Eigenvalue-Driven Control Chart for Phase i Analysis of High-Dimensional Covariance Matrices[C], 2019, 1300-1304.
Authors:
Fan, J. Y.
;
Shu, L. J.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2022/05/17
Control Chart
Eigenvalues
Statistical Process Control
Two-sample Tests
A distribution-free control chart for monitoring high-dimensional processes based on interpoint distances
Journal article
Shu,Lianjie, Fan,Jinyu. A distribution-free control chart for monitoring high-dimensional processes based on interpoint distances[J]. Naval Research Logistics, 2018, 65(4), 317-330.
Authors:
Shu,Lianjie
;
Fan,Jinyu
Favorite
|
TC[WOS]:
21
TC[Scopus]:
22
|
Submit date:2019/08/01
Control Chart
Minkowski Distance
Multivariate Statistical Process Control
One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes
Journal article
Zhou,Qin, Shu,Lianjie, Jiang,Wei. One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes[J]. Communications in Statistics - Theory and Methods, 2016, 45(20), 6112-6132.
Authors:
Zhou,Qin
;
Shu,Lianjie
;
Jiang,Wei
Favorite
|
TC[WOS]:
10
TC[Scopus]:
10
|
Submit date:2019/08/01
Average Run Length
Control Chart
Exponentially Weighted Moving Average
Statistical Process Control
Economic production quantity model based on taguchi's quality loss function and control charts design
Journal article
Jin Y., Cang T., Pan E.-S., Wang Y.. Economic production quantity model based on taguchi's quality loss function and control charts design[J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2011, 17(10), 2224-2230.
Authors:
Jin Y.
;
Cang T.
;
Pan E.-S.
;
Wang Y.
Favorite
|
|
Submit date:2019/01/16
Control chart design
Economic production quantity
Quality control
Quality loss function
Statistical process control
Total expected production cost
Optimum design of a new VSS-NP chart with adjusting sampling inspection
Journal article
Wenhui Zhou, Zhaotong Lian. Optimum design of a new VSS-NP chart with adjusting sampling inspection[J]. International journal of production economics, 2011, 129(1), 8-13.
Authors:
Wenhui Zhou
;
Zhaotong Lian
Favorite
|
TC[WOS]:
22
TC[Scopus]:
24
IF:
9.8
/
10.3
|
Submit date:2019/11/25
Np Chart
Adaptive Control Chart
Adjusting Sampling Inspection
Weighted CUSUM Procedures for Surveillance of Health Events with Varying Population Sizes
Conference paper
L. Shu, W. Jiang, K.-L. Tsui. Weighted CUSUM Procedures for Surveillance of Health Events with Varying Population Sizes[C], 2010, 467-471.
Authors:
L. Shu
;
W. Jiang
;
K.-L. Tsui
Favorite
|
TC[Scopus]:
2
|
Submit date:2019/12/10
Control Chart
Poisson Distribution
Health Care
Average Run Length
An adaptive CUSUM procedure for signaling process variance changes of unknown sizes
Journal article
Lianjie S., Hang-Fai Y., Wei J.. An adaptive CUSUM procedure for signaling process variance changes of unknown sizes[J]. Journal of Quality Technology, 2010, 42(1), 69-85.
Authors:
Lianjie S.
;
Hang-Fai Y.
;
Wei J.
Favorite
|
TC[WOS]:
20
TC[Scopus]:
25
IF:
2.6
/
3.2
|
Submit date:2018/10/30
Change-point Detection
Dispersion Chart
Markov Chain
Statistical Process Control
A Modified Counter-Propagation Network for Process Mean Shift Identification
Conference paper
Boyu Wang, Feng Wan, Lianjie Shu. A Modified Counter-Propagation Network for Process Mean Shift Identification[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2008, 3618-3623.
Authors:
Boyu Wang
;
Feng Wan
;
Lianjie Shu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
2
|
Submit date:2018/12/24
Control Chart Pattern Recognition
Modifed Counter-propagation Network
Process Mean Shift