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ORCIDPing Wu 0001
Person information
- affiliation: Zhejiang Sci-Tech University, Faculty of Mechanical Engineering and Automation, School of Information Science and Engineering, Hangzhou, China
- affiliation (PhD 2009): Zhejiang University, Hangzhou, China
Other persons with the same name
- Ping Wu — disambiguation page
- Ping Wu 0002
![[0000-0003-1485-2821]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1485-2821")
— Chongqing University, College of Mechanical and Vehicle Engineering, China - Ping Wu 0003 — Fudan University, Shanghai, China (and 1 more)
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2020 – today
- 2025
[j18]Xiaojun Li, Gengling Wu, Ping Wu:
VMD-SE-DCNN-CBAM: An Intelligent Cavitation Recognition Method for Canned Motor Pump. IEEE Trans. Instrum. Meas. 74: 1-13 (2025)- [j17]Siwei Lou, Chunjie Yang, Liyuan Kong, Tao Lin, Hanwen Zhang, Ping Wu, Li Chai:
TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 645-660 (2025) - 2024
- [j16]Siwei Lou, Chunjie Yang, Ping Wu, Yuelin Yang, Liyuan Kong, Xujie Zhang:
Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process. IEEE Trans Autom. Sci. Eng. 21(3): 3826-3841 (2024) - [j15]Siwei Lou, Chunjie Yang, Xujie Zhang, Hanwen Zhang, Ping Wu:
Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis. IEEE Trans. Ind. Informatics 20(3): 3163-3176 (2024) - [j14]Siwei Lou, Chunjie Yang, Xujie Zhang, Hanwen Zhang, Ping Wu:
From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes. IEEE Trans. Ind. Informatics 20(4): 5469-5481 (2024) - [j13]Ping Wu, Qianqian Pan, Xujie Zhang, Siwei Lou, Jinfeng Gao, Chunjie Yang:
SFENOSA: A Novel KPI-Related Process Monitoring Method by Slow Feature Extraction and Elastic Net Orthonormal Subspace Analysis. IEEE Trans. Ind. Informatics 20(11): 12643-12658 (2024) - 2023
- [j12]Siwei Lou, Chunjie Yang, Xiongzhuo Zhu, Hanwen Zhang, Ping Wu:
Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process. Inf. Sci. 642: 119176 (2023) - [j11]Siwei Lou, Chunjie Yang, Xujie Zhang, Ping Wu:
Novel Data-Driven Deep Learning Assisted CVA for Ironmaking System Prediction and Control. IEEE Trans. Circuits Syst. II Express Briefs 70(12): 4544-4548 (2023) - [j10]Siwei Lou, Chunjie Yang, Ping Wu:
A Local Dynamic Broad Kernel Stationary Subspace Analysis for Monitoring Blast Furnace Ironmaking Process. IEEE Trans. Ind. Informatics 19(4): 5945-5955 (2023) - [j9]Ping Wu, Yixuan Wang, Xujie Zhang, Jinfeng Gao, Lin Wang, Yichao Liu:
Wind Turbine Blade Breakage Monitoring With Mogrifier LSTM Autoencoder. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c1]Qianqian Pan, Ping Wu, Haote Zhou, Zengdi Miu:
Quality-related Process Monitoring based on Analytic Stationary Subspace Analysis and Kernel Projection To Latent Structures. SAFEPROCESS 2023: 1-6 - 2022
- [j8]Hejun Ye, Ping Wu, Yifei Huo, Xuemei Wang, Yuchen He, Xujie Zhang, Jinfeng Gao:
Bearing Fault Diagnosis Based on Randomized Fisher Discriminant Analysis. Sensors 22(21): 8093 (2022) - [j7]Siwei Lou, Chunjie Yang, Ping Wu, Liyuan Kong, Yonghong Xu:
Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2021
- [j6]Jiajun He, Ping Wu, Yizhi Tong, Xujie Zhang, Meizhen Lei, Jinfeng Gao:
Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN. Sensors 21(21): 7319 (2021) - [j5]Ping Wu, Siwei Lou, Xujie Zhang, Jiajun He, Yichao Liu, Jinfeng Gao:
Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis. IEEE Trans. Ind. Informatics 17(5): 3324-3334 (2021) - [j4]Ping Wu, Riccardo M. G. Ferrari, Yichao Liu, Jan-Willem van Wingerden:
Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis. IEEE Trans. Ind. Informatics 17(8): 5380-5390 (2021) - 2020
- [i4]Yichao Liu, Alessandro Fontanella, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model. CoRR abs/2006.16024 (2020) - [i3]Yichao Liu, Riccardo M. G. Ferrari, Ping Wu, Xiaoli Jiang, Sunwei Li, Jan-Willem van Wingerden:
Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach. CoRR abs/2007.01708 (2020) - [i2]Yichao Liu, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control. CoRR abs/2011.01855 (2020) - [i1]Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari, Ping Wu, Sunwei Li, Jan-Willem van Wingerden:
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control. CoRR abs/2011.02563 (2020)
2010 – 2019
- 2019
- [j3]Ping Wu, Lingling Guo, Siwei Lou, Jinfeng Gao:
Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring. IEEE Access 7: 25547-25562 (2019) - [j2]Lingling Guo, Ping Wu, Jinfeng Gao, Siwei Lou:
Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring. IEEE Access 7: 47550-47563 (2019) - 2018
- [j1]Jiahao Li, Tingting Zhang, Jinfeng Gao, Ping Wu:
Event-Triggered H∞ Filtering for Multiagent Systems with Markovian Switching Topologies. J. Control. Sci. Eng. 2018: 2572846:1-2572846:10 (2018)
Coauthor Index
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