Advanced Performance-Oriented Evaluation, Diagnosis and Fault-Tolerant Control Techniques for Industrial Processes

Dear Colleagues,

With the rapid development of computer techniques, electronics and information technology, modern industrial processes are generally becoming more and more complex. For such processes, safety and reliability issues are of significant importance since fault or failure may result in disastrous consequences and hazards for personnel, plant and environment, in particular when the systems are embedded in systems that must be safe, such as networks, robots, or power plants. As a consequence, performance-oriented evaluation, diagnosis and fault-tolerant control (FTC) techniques have received considerable attention both in industry and academia over the past decades. So far, there are many complex and challenging issues in the performance monitoring and FTC techniques, such as data-driven performance monitoring and recovery methodologies, advanced model-based fault diagnosis and FTC techniques, as well as machine-learning-aided FTC techniques and their application in complex industrial processes and safety-relevant processes.

This Special Issue will focus on advanced performance-oriented evaluation, diagnosis and fault-tolerant control methodologies for complex industrial systems, especially performance monitoring and fault-tolerant control techniques, and machine-learning-related schemes with their industrial applications. The Guest Editors invite original manuscripts presenting recent advances in these fields with special reference to the following topics:

• Data-driven performance monitoring and evaluation techniques.
• Machine-learning-based fault diagnosis and fault-tolerant control techniques.
• Data-driven fault diagnosis techniques.
• Advanced model-based fault diagnosis and fault-tolerant control techniques for complex industrial processes.
• Intelligent fault diagnosis and fault-tolerant control techniques for safety-critical systems.
• Real-time implementation and industrial applications.

Dr. Xin Peng
Dr. Linlin Li
Prof. Dr. Hao Luo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.