Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems: 2nd Edition

Dear Colleagues,

Over the last few decades, the field of fault diagnostics and structural health management has been experiencing rapid developments and the reliability, availability, and safety of engineering systems can be significantly improved by implementing multifaceted strategies of in situ diagnostics and prognostics. With the development of intelligence algorithms, smart sensors, and advanced data collection and modeling techniques, this challenging research area has been receiving ever-increasing attention in both fundamental research and engineering applications. This has been strongly supported by extensive applications ranging from the aerospace, automotive, transport, manufacturing, and processing industries to defense and the infrastructure industry. In view of the current state of the art and advances in this fast-growing discipline, in this Special Issue we are calling for papers related to all aspects of fault diagnostics, damage identification, and prognostics-based health management. A wide range of topics are covered, including new theories, methodologies, optimization, and applications in sensing, measurement, modeling, control, and prognostics. Topics include, but are not limited to:

• Measuring techniques for condition monitoring;
• Reliability analysis and design;
• Signal processing of measured data;
• Feature extraction of measured data;
• Fault diagnosis for prognosis and health management (PHM);
• Degradation modeling of measured data;
• Measurement error analysis;
• RUL prediction methods based on intelligent algorithms;
• Maintenance strategy optimization;
• Structural health monitoring (SHM);
• Non-destructive testing (NDT).

Prof. Dr. Yongbo Li
Dr. Teng Wang
Dr. Khandaker Noman
Prof. Dr. Bing Li
Guest Editors

Manuscript Submission Information

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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. Sensors 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 2600 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.

• prognostic and health management
• structural health monitoring
• condition-based maintenance
• non-destructive testing and evaluation
• reliability engineering

• Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems in Sensors (12 articles)