Performance-Explainable Fault Diagnosis and Advanced Control Techniques for Industrial Dynamic Systems

Dear Colleagues,

Fault diagnosis and control techniques play a significant role in ensuring the smooth and safe operation of industrial systems. While achieving a higher test performance is important, the industry places greater emphasis on the security and interpretability of established models. Despite achieving high classification or prediction performance, real-world industries are hesitant to adopt models that lack transparency or performance guarantees, as even a small oversight can lead to unpredictable damage to life and property. Therefore, the development of performance-explainable fault diagnosis and control techniques is crucial to establish trust in model decisions and ensure their safe applications. Techniques that enhance model understanding fall within this scope, including model-based error/state convergence proofs, as well as data-based visualization and interpretability analysis.
This Special Issue addresses the need to develop performance-explainable advanced technologies, considering fault diagnosis and control applications in any industrial systems. The scope of this Special Issue includes, but is not limited to, the following topics

(1)    Fault detection, isolation, and estimation of industrial dynamic systems;
(2)    Visualization and interpretability analysis toward extracted features or model behavior;
(3)    Stability analysis related to state observers, diagnosticians, and controllers;
(4)    Predictive- and learning-based control to improve the security and stability of industrial systems;
(5)    Fault detection of smart grid, aerospace system, and UAVs;
(6)    Fuzzy control and sliding mode control of nonlinear systems;
(7)    Neural-network-assisted system dynamics analysis and parameter identification;
(8)    Applications of advanced control in industrial systems.

We welcome original research articles, review articles, and case studies that demonstrate novel approaches and significant contributions to the field of performance-explainable fault diagnosis and advanced control techniques for industrial dynamic systems.

Dr. Guangtao Ran
Dr. Hongtian Chen
Dr. Zhuofu Pan
Guest Editors

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• fault diagnosis
• advanced control technologies
• explainable performance analysis
• advanced industrial modeling applications