Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Andre Kleyner"'
Autor:
Andre Kleyner, David Elmore
Publikováno v:
Quality and Reliability Engineering International. 38:2388-2404
Autor:
Andre Kleyner, David Elmore
Publikováno v:
2023 Annual Reliability and Maintainability Symposium (RAMS).
Autor:
David Elmore, Andre Kleyner
Publikováno v:
2019 Annual Reliability and Maintainability Symposium (RAMS).
This paper discusses the issues of processing life data containing zero-time failures, which are often the result of out-of-box, assembly line, screen test or other types of failure that occur before a product begins its field operation. Processing t
Autor:
Andre Kleyner, Robert Knoell
Publikováno v:
SAE Technical Paper Series.
Autor:
Keith Hodgson, Andre Kleyner
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Quality Engineering. 27:289-295
Last minute design changes after already completed product validation testing is a common occurrence in the engineering world. It is also common for a redesigned product to be retested to demonstrate compliance with the original reliability requireme
Autor:
Andre Kleyner
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 7:552-559
This paper discusses the effect of the field stress variance on the value of demonstrated reliability in the automotive testing. In many cases the acceleration factor for a reliability demonstration test is calculated based on a high percentile autom
Autor:
Andre Kleyner
Publikováno v:
Quality and Reliability Engineering International. 31:783-788
This paper discusses the effect of field stress variance on the value of demonstrated reliability. In many cases, the acceleration factor for a reliability demonstration test is calculated based on a high percentile field stress level, typically corr
Autor:
Vitali Volovoi, Andre Kleyner
Publikováno v:
Reliability Engineering & System Safety. 95:606-613
This paper presents an application of stochastic Petri nets (SPN) to calculate the availability of safety critical on-demand systems. Traditional methods of estimating system reliability include standards—based or field return-based reliability pre