Reliability Engineering Data analytics, modeling, risk prediction
This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are applied in the elementary phases of the product emergence process (concept and series development...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2024, 2024
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| Edition: | 1st ed. 2024 |
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Technical reliability and product emergence process
- Elementary terms
- Descriptive statistics: forms of visulization
- Probability and random experiments
- Data collection and first analysis steps
- Distribution models and functions
- Distribution models: parameter estimation
- Confidence intervals
- Correlation and regression
- System Analysis: Function, Fault Tree and Failure Mode and Effects
- Analysis of the failure behaviour of components, assemblies, systems
- Significance tests
- Prototype Testing and Accelerated Testing
- Test process suitability
- Statistical Process Control (SPC)