Reliability Analysis and Fault Diagnosis of Safety-Critical Systems Using Data-Driven Approaches

Dear Colleagues,

Safety-critical systems are vital parts in several industries such as aerospace, maritime, energy, and oil and gas. Their failures can cause immoderate consequences in terms of environmental damage, financial loss, and loss of life. Accordingly, reliability analysis, risk analysis, fault diagnosis, and maintenance optimization are essential to assure safe and reliable operations. However, the complex and dynamic nature of safety-critical systems hinders the former analyses. Data-driven approaches can assist by analyzing system-generated data, possibly leading to the creation of new knowledge. This, in turn, greatly improves precision regarding fault diagnosis and reliability behavior of a system, leading to better failure prevention.

This Special Issue will provide professionals and academics with an opportunity to expand the knowledge of data-driven approaches for reliability analysis and fault diagnosis.

The present Special Issue will welcome innovative theoretical and practical contributions related to the development, application, and test of data-driven approaches for reliability analysis and fault diagnosis of safety-critical systems. Methodologies and frameworks accounting for the typical gap between theory and industrial applications are particularly welcome.

Topics of interest for this Special Issue include, but are not limited to, the following:

• Data-driven reliability analysis of safety-critical systems;
• Data-driven risk and resilience analysis of safety-critical systems;
• Data-driven reliability analysis for hazard prevention and standards compliance;
• Data-driven fault diagnosis framework for safety critical-systems;
• Data-driven frameworks for prognostics and health management of safety critical systems;
• Data-driven approaches for anomaly detection of safety-critical systems;
• Adoption of AI and machine learning for reliability analysis and fault diagnosis of safety-critical systems;
• Reliability analysis and fault diagnosis to support maintenance planning of safety-critical systems;
• Challenges hindering the adoption of advanced data-driven reliability analysis and fault diagnosis for safety-critical systems.

We look forward to receiving your contributions.

Dr. Leonardo Leoni
Prof. Dr. Mario Tucci
Prof. Dr. Filippo De Carlo
Guest Editors

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• safety-critical systems
• complex socio-technical systems
• safe operations
• reliable operations
• hazardous equipment
• risk
• resilience analysis