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Zhaojun Wang

Researcher at Harbin Institute of Technology

Publications -  173
Citations -  5534

Zhaojun Wang is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Control chart & Thermal comfort. The author has an hindex of 39, co-authored 143 publications receiving 4521 citations. Previous affiliations of Zhaojun Wang include Wageningen University and Research Centre & University of Delaware.

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Journal ArticleDOI

Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes

TL;DR: A novel multivariate exponentially weighted moving average monitoring scheme for a general linear profile, which fits a quadratic polynomial regression model well and is introduced to improve the performance of the proposed scheme.
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Development of the ASHRAE Global Thermal Comfort Database II

Veronika Földváry Ličina, +64 more
TL;DR: The ASHRAE Global Thermal Comfort Database II (Comfort Database II) as discussed by the authors is an open-source thermal comfort database that includes approximately 81,846 complete sets of objective indoor climatic observations with accompanying subjective evaluations by the building occupants who were exposed to them.
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Outlier detection for high-dimensional data

TL;DR: An outlier detection procedure is proposed that replaces the classical minimum covariance determinant estimator with a high-breakdown minimum diagonal product estimator and the cut-off value is obtained from the asymptotic distribution of the distance.
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Nonparametric Profile Monitoring by Mixed Effects Modeling

TL;DR: A novel control chart is suggested, which incorporates local linear kernel smoothing into the exponentially weighted moving average (EWMA) control scheme and is fast to compute and convenient to use.
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An enhanced adaptive CUSUM control chart

TL;DR: A new feature of the ACUSUM chart related to an additional charting parameter w, i.e., the exponential of the sample mean shift in (x t – μ 0) w is studied, which can significantly improve the performance of many CUSUM charts over the entire process shift range.