Abstract
Traditionally, the approach to reliability assessment is probabilistic approach, and it is this approach that is key to assessing risk. This approach works well in risk modeling; however, the limitation of this approach is that even though it predicts the probability of failure, it is not capable of predicting the instant of failure. When it comes to predicting the failure in advance, the techniques like physics-of-failure or data-driven-based prognostic techniques are used such that incipient failure can be detected in time. Accordingly, the prognostics and health management approach is employed for remaining life estimation in the field conditions. This aspect has been discussed in Chaps. 12 and 13 on Physics-of-Failure and Prognostics and health management.
But to us, probability is the very guide of life.
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References
M. Modarres, Risk Analysis in Engineering: Techniques, Tools and Trends (CRC Press, Boca Raton, FL, USA, 2006)
K. Agarwal, Reliability Engineering (Kluwer Academic Publishers, 1993)
A.B. Rao, Quantitative Techniques in Business, 2nd edn. (Jaico Publishing House, 2004)
K.B. Mishra, Reliability Analysis and Prediction—A Methodology Oriented Treatment (Elsevier, 1992)
M. Modarres, Reliability and Risk (Marcel Dekker, USA, 1993)
B. Epistein, Trucanted life test in the exponential case. Ann. Math. Stat. 25, 255–264 (1954)
C. Lipson, N.J. Sheth, Statistical Design and Analysis of Engineering Experiments (McGraw-Hill Kogakusha Ltd., 1973)
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Varde, P.V., Pecht, M.G. (2018). Probabilistic Approach to Reliability Engineering. In: Risk-Based Engineering. Springer Series in Reliability Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0090-5_3
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DOI: https://doi.org/10.1007/978-981-13-0090-5_3
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