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Jianfeng Mao

Researcher at Zhejiang University of Technology

Publications -  39
Citations -  520

Jianfeng Mao is an academic researcher from Zhejiang University of Technology. The author has contributed to research in topics: Creep & Fault detection and isolation. The author has an hindex of 12, co-authored 38 publications receiving 379 citations. Previous affiliations of Jianfeng Mao include Chinese Ministry of Education.

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Nonlinear process monitoring based on kernel global–local preserving projections

TL;DR: In this paper, a new nonlinear dimensionality reduction method called kernel global-local-preserving projections (KGLPP) is developed and applied for fault detection, which has the advantage of preserving global and local data structures simultaneously.
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Quality prediction and quality-relevant monitoring with multilinear PLS for batch processes

TL;DR: The results indicate that the multilinear PLS method has higher predictive accuracy, better anti-noise capability and monitoring performance than the unfold-PLS method.
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Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots

TL;DR: A novel process monitoring method is proposed based on sparse principal component analysis (SpPCA), where the selected sparse loading vectors classify all process variables into nonoverlapping groups according to variable correlations.
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Improved fault detection and diagnosis using sparse global-local preserving projections

TL;DR: A SGLPP-based process monitoring method is developed to improve the interpretability and the fault detection capability of monitoring models and to enhance the fault diagnosis capability.
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Creep deformation and damage behavior of reactor pressure vessel under core meltdown scenario

TL;DR: In this paper, a finite element model (FEM) has been developed for simulating the failure processes and the visco-plastic behavior of vessel wall, and some failure modes have been found as local melting, plastic damage and creep damage by FEM.