System resilience distribution identification and analysis based on performance processes after disruptions.

Bibliographic Details
Title:	System resilience distribution identification and analysis based on performance processes after disruptions.
Authors:	Song Y; School of Reliability and Systems Engineering, Beihang University, Beijing, China., Li R; School of Reliability and Systems Engineering, Beihang University, Beijing, China.; Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing, China.
Source:	PloS one [PLoS One] 2022 Nov 03; Vol. 17 (11), pp. e0276908. Date of Electronic Publication: 2022 Nov 03 (Print Publication: 2022).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database:	MEDLINE Complete
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Description
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0276908