عنوان فارسی مقاله: روش های آماری برای پیش بینی قابلیت اطمینان
عنوان انگلیسی مقاله:
فهرست مطالب
Statistical methods for reliability forecasting and prognostics
A Brief Background
Iowa State University
Goal
Today’s Presentation
Part 1:Motivation For Research
Failures
Sample Study
Malfunctions vs. Downtime
Failure Modes
Industry Approaches
Sandia’s Take on Reliability
Big Data
“Big Data” for Wind Turbines
Reliability Field Data
Applications
Main Research Topic
Example of Non-Parametric Analysis
An Idea of KM Datasets
Graphical Representation
Relation to other WESEP Students
Conclusion/Q&A
References
بخشی از مقاله
Big Data
“Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. This definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data—i.e., we don’t define
Big data in terms of being larger than a certain number of terabytes (thousands of gigabytes). We assume that, as technology advances over time, the size of datasets that qualify as big data will also increase. Also note that the definition can vary by sector, depending on what kinds of software tools are commonly available and what sizes of datasets are common in a particular industry.
With those caveats, big data in many sectors today will range from a few dozen terabytes to multiple petabytes (thousands of terabytes).
کلمات کلیدی:
Complex Engineering Service Systems: Concepts and Research https://books.google.com/books?isbn=0857291890 Irene Ng, Glenn Parry, Peter Wild - 2011 - Technology & Engineering The ability to predict the remaining useful life of a system or a component also requires a reliable forecast of future equipment use. Although often mentioned in the same breath, prognostics and diagnostics are fundamentally different. Fault diagnosis is a post-event activity, aiming to assist recovery from a failure while ... Diagnostics and Prognostics of Engineering Systems: Methods and ... https://books.google.com/books?isbn=146662096X Kadry, Seifedine - 2012 - Technology & Engineering IEEE Transactions on Reliability, 59(2), 426–439. doi:10.1109/TR.2010.2048736 Ginart, A., Barlas, I., Dorrity, J. L., Kalgren, P., & Roemer, M. J. (2006). Self-healing from a ... International Journal of Forecasting, 22, 443–473. doi:10.1016/j.ijforecast.2006.01.001 Grall, A., Bérenguer, C., & Chu, C. (1998). Optimal dynamic ...
