Physical-Informed Fault Monitoring and Fault-Tolerant Control of Industrial System

Dear Colleagues,

Owing to the rapid development of Internet of Things (IOT) and sensors networks in industrial enginnering, prognostic and health management (PHM) schemes have been widely adopted in next generation of industrial systems such as aircraft engines, energies, high speed train, vehicles, and other heavy industries areas. In particular, physics-informed fault monitoring and fault-tolerant control has emerged as a promising technique for condition monitoring of complex industrial system, which combines the superiorities of degradation mechanism, models interpretability and performance reliability even in the event of system failure through fusing domain knowledge and degraded information of system. This special issue aims at addressing and reporting the recent advances and new breakthrough in physical-informed fault monitoring and tolerance control of industrial system. Authors are encouraged to submit research papers or practical applications. Areas to be covered in this Research Topic may include, but are not limited to:

• Theoretical modeling for fault monitoring & tolerance control
• Physics-informed deep learning for fault diagnosis & classification
• Physics-informed deep learning for failure prognosis & life-time prediction
• Active fault-tolerant control of industrial system
• Passive fault-tolerant control of industrial system
• Implementation of physics-informed modeling in embedded environment for IoT&PHM applications
• Self-healing, evaluation, validation & invitigation of physics-informed models/algorithms
• Fault compensation, redundant decision and adaptive control to industrial systems
• Applications of physical-informed fault monitoring to various industrial systems/domains
• Uncertainty and stability assessment in physical-informed models

Dr. Qing Li
Dr. Yu Shao
Dr. Xiang Chen
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. Machines is an international peer-reviewed open access monthly 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.