
Ranking method of equipment failure risk in shipboard power system
Author(s) -
Ruokun Mo,
Weifeng Shi
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2351/1/012035
Subject(s) - reliability engineering , ranking (information retrieval) , correctness , topsis , engineering , entropy (arrow of time) , power (physics) , fault (geology) , realization (probability) , computer science , statistics , operations research , mathematics , artificial intelligence , algorithm , physics , quantum mechanics , seismology , geology