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 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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