Open AccessEffectiveness Evaluation of Wartime Equipment Maintenance Support Based on Bayesian Network
Author(s) -
Yong Gu,
Zhonghua Cheng
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/5/052017
Subject(s) - bayesian network , overall equipment effectiveness , predictive maintenance , reliability engineering , field (mathematics) , computer science , planned maintenance , total productive maintenance , engineering , proactive maintenance , operations research , systems engineering , artificial intelligence , production (economics) , mathematics , pure mathematics , economics , macroeconomics
Starting with the definition of wartime equipment maintenance support effectiveness, the paper deeply analyses the difference between equipment maintenance support effectiveness and equipment maintenance support capability. Based on Bayesian network theory and experts experience knowledge in the field of equipment maintenance, an evaluation model of wartime equipment maintenance and support effectiveness is established, which takes equipment command efficiency, equipment maintenance efficiency and supply efficiency as main evaluation indicators. Based on Netica software, the Bayesian network for evaluating the effectiveness of wartime equipment maintenance support is constructed. The gradient descent method is used to learn network parameters. Finally, the feasibility of the model is proved by a practical case.