Abstract
In this chapter, the possible integration between reliability engineering methods and physical failure models is discussed. After a brief introduction on the basic principles of reliability engineering, the challenge of selecting a relevant failure parameter (RFP) is treated. Then, the application of the life exchange rate matrix (LERM) and the analysis of real failure data are discussed, and finally, the concept of stochastic service life analyses is described.
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Notes
- 1.
As \( \int\limits_{0}^{t} {\lambda \left( t \right){\text{d}}t} = \int_{R\left( 0 \right) = 1}^{R\left( t \right)} {\left( { - {{{\text{d}}R\left( t \right)} \mathord{\left/ {\vphantom {{{\text{d}}R\left( t \right)} {R\left( t \right)}}} \right. \kern-0pt} {R\left( t \right)}}} \right)} \), it is derived that \( R\left( t \right) = \exp \left( { - \int_{0}^{t} {\lambda \left( x \right){\text{d}}x} } \right) \)
References
Manzini, R., Regattieri, A., Pham, H., Ferrari, E.: Maintenance for Industrial Systems. Springer Series in Reliability EngineeringSpringer, London (2010)
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Further Reading
Manzini, R., Regattieri, A., Pham, H., Ferrari, E.: Maintenance for Industrial Systems. Springer Series in Reliability EngineeringSpringer, London (2010)
Pham, H.: Handbook of Reliability Engineering. Springer, London (2003)
Ebeling, C.E.: An introduction to reliability and maintainability engineering. McGraw-Hill Companies, Inc., Boston (1997)
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Tinga, T. (2013). Reliability Engineering. In: Principles of Loads and Failure Mechanisms. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4917-0_7
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DOI: https://doi.org/10.1007/978-1-4471-4917-0_7
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