Developing a bayesian belief network model for quantifying the probability of software failure of a protection system / prepared by: Tsong-Lun Chu [and six others].
- Author
- Chu, Tsong-Lun
- Published
- Washington, D.C. : United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, January 2018.
- Physical Description
- 1 online resource (various pagings) : illustrations
- Additional Creators
- U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Report Numbers
- Y 3.N 88:25/7233
NUREG/CR-7233 - Subject(s)
- Note
- "NUREG/CR-7233."
"Manuscript completed: July 2016; date published: January 2018."
"Brookhaven National Laboratory."
"Ulsan National Institute of Science and Technology."
"Korea Advanced Institute of Science and Technology."
"Korea Atomic Energy Research Institute."
"NUV Technology, LLC."
"Ming Li, NRC project manager."
"BNL-NUREG-112737-2016; KAERI/TR-6006/2015"--Bibliographic data sheet. - Bibliography Note
- Includes bibliographical references.
- Type of Report and Period Covered Note
- Technical.
- Funding Information
- Sponsored by the Division of Risk Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission NRC-HQ-60-15-D-0006
- Action Note
- committed to retain. Federal Depository Library Program (FDLP). For information on our retention commitment, please contact Microforms and Government Information.
View MARC record | catkey: 23172587