Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality.
Singhal, Suren (NASA Marshall Space Flight Center, Alabama, USA); Ghiocel, Dan M. (Ghiocel Predictive Technologies, Pittsford, New York, USA); Nikolaidis, Efstratios (University of Toledo, Ohio, USA)
Our site uses cookies and similar technologies to offer you a better experience. We use analytical cookies (our own and third party) to understand and improve your browsing experience, and advertising cookies (our own and third party) to send you advertisements in line with your preferences. To modify or opt-out of the use of some or all of our cookies, please go to “Manage Cookies” or view our Cookie Policy to find out more. By clicking “Accept all” you consent to the use of these cookies.
