Integrated System Health Management (e-bok)
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E-bok
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Språk
Engelska
Antal sidor
472
Utgivningsdatum
2017-05-18
Förlag
Elsevier Science
ISBN
9780128132685
Integrated System Health Management (e-bok)

Integrated System Health Management (e-bok)

Perspectives on Systems Engineering Techniques

E-bok (EPUB - DRM), Engelska, 2017-05-18
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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), "e;diagnosibility"e; (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 "e;quasi-technical"e; 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.Solves prognostic information selection and decision-level information fusion issuesPresents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessmentProposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systemsExplains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction
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