Search Results - "Ding, Steven X."

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  1. 1

    A Review on Basic Data-Driven Approaches for Industrial Process Monitoring by Shen Yin, Ding, Steven X., Xiaochen Xie, Hao Luo

    “…Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-driven methods have been receiving considerably increasing…”
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  2. 2

    Data Mining and Analytics in the Process Industry: The Role of Machine Learning by Ge, Zhiqiang, Song, Zhihuan, Ding, Steven X., Huang, Biao

    Published in IEEE access (01-01-2017)
    “…Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several…”
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  3. 3

    Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis by Qingchao Jiang, Ding, Steven X., Yang Wang, Xuefeng Yan

    “…Large-scale processes have become common, and fault detection for such processes is imperative. This work studies the data-driven distributed local fault…”
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  4. 4

    Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring by Ai, Mingxi, Xie, Yongfang, Ding, Steven X., Tang, Zhaohui, Gui, Weihua

    “…To ensure the reliability and safety of modern industrial process monitoring, computer vision-based soft measurement has received considerable attention due to…”
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  5. 5

    A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches by Zhang, Kai, Hao, Haiyang, Chen, Zhiwen, Ding, Steven X., Peng, Kaixiang

    Published in Journal of process control (01-09-2015)
    “…In this paper, the key performance indicator (KPI)-based multivariate statistical process monitoring and fault diagnosis (PM-FD) methods for linear static…”
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  6. 6

    Deep Convolutional Clustering-Based Time Series Anomaly Detection by Chadha, Gavneet Singh, Islam, Intekhab, Schwung, Andreas, Ding, Steven X

    Published in Sensors (Basel, Switzerland) (15-08-2021)
    “…This paper presents a novel approach for anomaly detection in industrial processes. The system solely relies on unlabeled data and employs a 1D-convolutional…”
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  7. 7

    A data‐driven distributed fault diagnosis scheme for large‐scale systems based on correlation analysis by Li, Zhennan, Li, Linlin, Ding, Steven X.

    Published in IET control theory & applications (01-01-2024)
    “…This paper studies data‐driven distributed fault diagnosis for large‐scale systems using sensor networks. To be specific, a distributed fault detection scheme…”
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  8. 8

    Improved canonical correlation analysis-based fault detection methods for industrial processes by Chen, Zhiwen, Zhang, Kai, Ding, Steven X., Shardt, Yuri A.W., Hu, Zhikun

    Published in Journal of process control (01-05-2016)
    “…•To investigate the methods for detecting incipient multiplicative faults.•To propose methods combining the statistical local approach and CCA methods.•To…”
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  9. 9

    Optimization of DEM parameters using multi-objective reinforcement learning by Westbrink, Fabian, Elbel, Alexander, Schwung, Andreas, Ding, Steven X.

    Published in Powder technology (01-02-2021)
    “…Simulations with the Discrete Element Method (DEM) have become prominent for analyzing bulk behavior in various industries. For each application the material…”
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  10. 10

    Adaptive Backstepping Based Fault-tolerant Control for High-speed Trains with Actuator Faults by Liu, Shangkun, Jiang, Bin, Mao, Zehui, Ding, Steven X.

    “…In this paper, the fault-tolerant control problem is addressed for high-speed trains with unknown time-varying system parameters, traction system actuator…”
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  11. 11

    Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation by Chadha, Gavneet Singh, Shah, Sayed Rafay Bin, Schwung, Andreas, Ding, Steven X.

    Published in IEEE access (2022)
    “…This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the…”
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  12. 12

    Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives by Chen, Hongtian, Jiang, Bin, Ding, Steven X., Huang, Biao

    “…Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of faults (FDD) in traction systems have become an active issue in…”
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  13. 13

    A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems Using SVM Technique by Zhou, Jing, Yang, Ying, Ding, Steven X., Zi, Yanyang, Wei, Muheng

    Published in IEEE access (01-01-2018)
    “…Both the model-based and data-driven techniques for fault detection have their merits and drawbacks. The fault detection systems are usually laid out…”
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  14. 14

    A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches by Zhiwei Gao, Cecati, Carlo, Ding, Steven X.

    “…With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and…”
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  15. 15

    An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data by Lei, Yaguo, Jia, Feng, Lin, Jing, Xing, Saibo, Ding, Steven X.

    “…Intelligent fault diagnosis is a promising tool to deal with mechanical big data due to its ability in rapidly and efficiently processing collected signals and…”
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  16. 16

    A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches by Zhiwei Gao, Cecati, Carlo, Ding, Steven X.

    “…This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed,…”
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  17. 17

    H−/H∞ fault detection filter design for discrete-time Takagi–Sugeno fuzzy system by Chadli, Mohammed, Abdo, Ali, Ding, Steven X.

    Published in Automatica (Oxford) (01-07-2013)
    “…In this note, a robust fault detection observer is designed for a T–S (Takagi–Sugeno) fuzzy model with sensor faults and unknown bounded disturbances. The…”
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  18. 18

    Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey by Jianbin Qiu, Huijun Gao, Ding, Steven X.

    “…In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked control systems (NCSs) have received increasing attention from both…”
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  19. 19

    Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes by Chen, Dongyue, Liu, Ruonan, Hu, Qinghua, Ding, Steven X.

    “…Fault diagnosis of complex industrial processes becomes a challenging task due to various fault patterns in sensor signals and complex interactions between…”
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  20. 20

    Real-time fault diagnosis and fault-tolerant control by Gao, Zhiwei, Ding, Steven X., Cecati, Carlo

    “…This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a…”
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