Structural Prognostics and Health Management in Power & Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 62736
Special Issue Editors
Interests: intelligent operation and maintenance; mathematical basis of fault feature extraction and sparse measure; prognostic and health management
Special Issues, Collections and Topics in MDPI journals
Interests: structural integrity and reliability analysis; damage tolerance design and life prediction; artificial intelligence and health assessment
Special Issues, Collections and Topics in MDPI journals
Interests: multi-physics damage modeling; high temperature fatigue; fatigue-creep interaction; life design and prediction; structural integrity; damage tolerance
Special Issues, Collections and Topics in MDPI journals
Interests: reliability testing and statistics; life prediction; advanced testing techniques; chemical equipment; power plant technologies; damage modeling; fracture mechanics; fatigue; damage tolerance; structural integrity assessment
Interests: numerical modeling of engineering structures and structural components (offshore applications, steel bridges, pressure vessels, pipelines, wind turbine towers, etc.); mathematical problems in fatigue and fracture; mechanics of solids and structures; metals materials and structures; numerical fracture mechanics and crack growth; local approaches; finite element methods in structural mechanics applications; computer-aided structural integrity
Special Issues, Collections and Topics in MDPI journals
Interests: steam turbine; power plant technologies; failure mechanisms; probabilistic damage tolerance; structural integrity; fatigue and fracture analysis of nuclear components and structures; nuclear energy and safety; pressurized thermal shock analysis of reactor pressure vessels; leak-before-break analysis of nuclear piping; nuclear materials
Special Issue Information
Dear Colleagues,
In order to ensure the safety and reliability of power and energy systems, including wind turbines, gas/steam turbines, power plants, etc., failure mechanism, reliability assessment, prognostics, and health management (PHM) have becoming recent developments in integrity analysis of these systems. For many countries, such as the European countries, England and the USA, currently facing a potential future mismatch from energy production and transformation, currently increasing interests are being paid on new techniques to discover and understand the remaining life and integrity assessment of power and energy systems.
To prevent any unexpected machine breakdowns and accidents, early faults of critical components in these systems should be detected as soon as possible. Once early faults of critical components are diagnosed, their performance degradation assessment and remaining useful life estimation should be conducted to maximize lifetime of power and energy systems. Moreover, due to unexpected ageing related degradations/damaging, mechanical properties, microstructures and structural resistance of systems/components often require stochastic considerations related to failure mechanism modeling and analysis. In addition, various sources of uncertainty/variability arising from a simplified representation of the actual physical process (often through semi-empirical or empirical models) and/or sparse information on manufacturing, material properties, and loading profiles contribute to stochastic behavior under operation.
Accordingly, continued improvements on PHM have been possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining the deterministic and probabilistic modeling techniques, researches on PHM and structural health monitoring (SHM) can provide assurance for new structures at the design stage and ensure the integrity in the construction at the fabrication phase. Specifically, power and energy system failure occurs under multi-sources of uncertainty/variability, resulting from load variation in usages, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on PHM are desired and expected, which attempts to prevent over-design and unnecessary inspection and provide the tools to enable a balance between safety and economy to be achieved.
The aim of this Special Issue would be to provide the data, models and tools necessary to performing PHM from structural to the system, resulting in the use of advanced mathematical, numerical and experimental techniques. Therefore, researchers are invited to provide original research and review articles that seek for accurate and efficient machine fault diagnosis and prognosis, remaining life assessment, condition-based maintenance, and so forth. Potential topics include, but are not limited to:
- wind/gas/steam turbine technologies
- power plant technologies
- failure mechanisms
- damage/degradation
- digital/adaptive signal processing
- statistical signal processing
- prognostics and health management
- probabilistic damage tolerance
- probabilistic physics of failure
- structural integrity assessment
- structural reliability
- reliability testing and statistics
- life prediction
- degradation modeling and analysis
- structural health monitoring
- system diagnostics
Dr. Dong Wang
Dr. Shun-Peng Zhu
Prof. Dr. Xiancheng Zhang
Prof. Dr. Gang Chen
Dr. José A.F.O. Correia
Dr. Guian Qian
Guest Editors
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