Worst maximum credible accidental scenarios (WMCAS) - A new methodology to identify accident scenarios for risk assessment
Year: 2017
Type: article
Authors: Feng Zhang, Guili Zhao, Zheng Wang, Jiwu Yuan, Yunfei Cheng
Institutions: Qingdao University of Science and Technology, Sinopec (China)
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: closed
OpenAlex ID: W2604335887