H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 67 Citations 19,500 332 World Ranking 357 National Ranking 10

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Statistics
  • Artificial intelligence

Steven X. Ding focuses on Control theory, Fault detection and isolation, Robustness, Control engineering and Residual. His studies link Fuzzy logic with Control theory. His Fault detection and isolation study integrates concerns from other disciplines, such as Control system, Linear system, Discrete time and continuous time, Lyapunov function and Actuator.

The various areas that Steven X. Ding examines in his Robustness study include Optimization problem and Model matching. His biological study spans a wide range of topics, including Data-driven, Control reconfiguration, Fault tolerance, Feedback control and Realization. Steven X. Ding focuses mostly in the field of Residual, narrowing it down to topics relating to Constant false alarm rate and, in certain cases, Randomized algorithm, Algorithm design, Generalized canonical correlation and Resource allocation.

His most cited work include:

  • Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools (1477 citations)
  • A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (1091 citations)
  • A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process (831 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Fault detection and isolation, Control theory, Residual, Control engineering and Control system. His work investigates the relationship between Fault detection and isolation and topics such as Robustness that intersect with problems in Linear matrix inequality and Discrete time and continuous time. His Control theory research includes themes of Fault tolerance and Fuzzy logic.

He has included themes like Optimization problem, Mathematical optimization, Computation and Parity space in his Residual study. His Control engineering research is multidisciplinary, incorporating perspectives in Data-driven, Control and Process control. His Control system research includes elements of Automatic control, Real-time computing, Distributed computing and Network packet.

He most often published in these fields:

  • Fault detection and isolation (55.17%)
  • Control theory (53.83%)
  • Residual (24.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • Fault detection and isolation (55.17%)
  • Control theory (53.83%)
  • Residual (24.52%)

In recent papers he was focusing on the following fields of study:

Steven X. Ding spends much of his time researching Fault detection and isolation, Control theory, Residual, Algorithm and Fault tolerance. His Fault detection and isolation research is multidisciplinary, incorporating elements of Data mining, Data-driven, Constant false alarm rate, Benchmark and Robustness. His Control theory study combines topics from a wide range of disciplines, such as Multiplicative function and Fuzzy logic.

His Residual research is multidisciplinary, relying on both Control system, Inverter and Minimax. The study incorporates disciplines such as Control engineering, Control, Automatic control and Degradation in addition to Control system. His Algorithm research incorporates themes from Covariance, Discrete time and continuous time and Metric.

Between 2018 and 2021, his most popular works were:

  • Performance-based fault detection and fault-tolerant control for automatic control systems (41 citations)
  • On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: A least squares method (34 citations)
  • A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring (30 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Statistics
  • Artificial intelligence

Steven X. Ding mainly investigates Fault detection and isolation, Control theory, Fault tolerance, Data mining and Discrete time and continuous time. His studies in Fault detection and isolation integrate themes in fields like Control system, Margin and Algorithm, Constant false alarm rate, Residual. His study in the field of Computation also crosses realms of Isolation.

His Control theory study combines topics in areas such as Open-circuit voltage and Converters. He interconnects Multiplicative function, Control theory, State observer, Estimator and Backstepping in the investigation of issues within Fault tolerance. His Data mining study incorporates themes from Bayesian inference, Principal component analysis, Probabilistic framework and Benchmark.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

Steven X. Ding.
(2008)

2767 Citations

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Zhiwei Gao;Carlo Cecati;Steven X. Ding.
IEEE Transactions on Industrial Electronics (2015)

1566 Citations

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

Shen Yin;Steven X. Ding;Xiaochen Xie;Hao Luo.
IEEE Transactions on Industrial Electronics (2014)

1108 Citations

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

Shen Yin;Shen Yin;Steven X. Ding;Adel Haghani;Haiyang Hao.
Journal of Process Control (2012)

1062 Citations

Brief An LMI approach to design robust fault detection filter for uncertain LTI systems

Maiying Zhong;Steven X. Ding;James Lam;Haibo Wang.
Automatica (2003)

649 Citations

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

Yaguo Lei;Feng Jia;Jing Lin;Saibo Xing.
IEEE Transactions on Industrial Electronics (2016)

617 Citations

Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization

Shen Yin;Hao Luo;Steven X. Ding.
IEEE Transactions on Industrial Electronics (2014)

594 Citations

A unified approach to the optimization of fault detection systems

S. X. Ding;T. Jeinsch;P. M. Frank;E. L. Ding.
International Journal of Adaptive Control and Signal Processing (2000)

531 Citations

Brief paper: Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems

Zhiwei Gao;Steven X. Ding.
Automatica (2007)

492 Citations

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

Steven X. Ding.
(2014)

427 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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