EconPapers    
Economics at your fingertips  
 

Probabilistic Approach to Reliability Engineering

Prabhakar V. Varde () and Michael G. Pecht ()
Additional contact information
Prabhakar V. Varde: Bhabha Atomic Research Centre
Michael G. Pecht: University of Maryland

Chapter Chapter 3 in Risk-Based Engineering, 2018, pp 31-69 from Springer

Abstract: 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.

Keywords: Health Management Approach; Remaining Life Estimation; Mean Time To Failure (MTTF); Average Failure Rate; Bathtub Curve (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-981-13-0090-5_3

Ordering information: This item can be ordered from
http://www.springer.com/9789811300905

DOI: 10.1007/978-981-13-0090-5_3

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-20
Handle: RePEc:spr:ssrchp:978-981-13-0090-5_3