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Defect and Fault Tolerance in Computing and Applications: Integrating Prognostic and Health Management (PHM) Approaches

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

With the increasing complexity of industrial applications and safety-critical infrastructure, fault tolerance and failure management in computing systems are becoming increasingly important. Prognostic and Health Management (PHM) provides essential methods for fault prediction, fault diagnosis, and system health assessment, thereby achieving resilient and reliable system operation. With the rapid development of artificial intelligence, the integration of large-scale models has brought new opportunities for intelligent operations and maintenance, achieving breakthroughs in accuracy, adaptability, and decision support.

This Special Issue is dedicated to high-quality research on the theory, methods, and applications of fault tolerance and failure management in the context of PHM. We particularly encourage research that integrates advanced computing, fault-tolerant design, and large-model-driven intelligent operations and maintenance for next-generation industrial systems.

This Special Issue will publish original research papers in the following interdisciplinary areas:

  • Data-driven Prognostic and Health Management (PHM);
  • Fault Mechanism Analysis;
  • Intelligent Fault Monitoring and Diagnosis;
  • Prediction of Remaining Useful Life;
  • Large-Language-Model-Driven Intelligent Operation and Maintenance;
  • Digital Twins for PHM Systems;
  • Applications of PHM in Aerospace, Energy, Transportation, and Manufacturing;
  • Explainable Anomaly Detection Methods;
  • Reliability Modeling and Assessment of Complex Systems.

Dr. Zisheng Wang
Dr. Dun Li
Dr. Huan Wang
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. Applied Sciences 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.

Keywords

  • prognostic health management (PHM)
  • intelligent operation and maintenance
  • reliability engineering
  • large language model
  • data-driven PHM methods
  • digital twin for PHM

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Appl. Sci. - ISSN 2076-3417