Special Issue on Prognostics and Health Management of Complex Systems
• 大类 : 工程技术 - 2区
• 小类 : 自动化与控制系统 - 3区
• 小类 : 工程：综合 - 2区
• 小类 : 仪器仪表 - 2区
Prognostics and Health Management (PHM) is a set of means, approaches, methods and tools that allows monitoring and tracking the health state of a system in order to detect, diagnose and predict its failures. This information is then exploited to take appropriate decisions to increase the system's availability, reliability and security while reducing its maintenance costs. However, implementing PHM on real industrial systems can be challenging due to their complexity, characterized by interactions between their components, different failure mechanisms, nonlinear and nonstationary phenomena, uncertainties, etc.
This special issue aims at gathering and publishing original scientific contributions and industrial applications dealing with the topics covered by PHM. Researchers and industrialists are invited to present their current developments and results in the areas of condition monitoring, fault detection, fault diagnostics, fault prognostics and decision support.
Topics of interest include, but are not limited to:
Prognostics and Health Management in Cyber-Physical Systems
Fault detection, diagnostics and prognostics (data-driven, model-based and hybrid methods)
Remaining Useful Life (RUL) computation and prediction
Post-diagnostics and post-prognostics decision
Condition monitoring and sensors placement and optimization
Feature extraction and selection, Health Indicators construction
Modelling and simulation of interdependent failure mechanisms