ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors.
This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering.
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1. ISHM for Complex Systems2. Sensor System and Health Monitoring3. Information Fusion4. Performance Evaluation5. System Assessment6. Fault Diagnostics7. Failure Prognostics8. Maintenance Decision Support9. Affordability and Life-Cycle Costs Analysis
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Defines and provides advice on implementing and researching tools in integrated system health management
Defines and provides advice on implementing and researching tools in integrated system health management
Solves prognostic information selection and decision-level information fusion issues
Presents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessment
Proposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systems
Explains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction
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Produktdetaljer
ISBN
9780128122075
Publisert
2017-05-30
Utgiver
Vendor
Academic Press Inc
Vekt
700 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
472
Forfatter