Analysis of Operational Faults and Countermeasures of Anesthesia Machines Based on Bayesian Networks
This paper expounds the construction of a Bayesian network-based reliability model for anesthesia machine operation through the analysis of anesthesia machine failure data,and infers the probability of anesthesia machine failure to ensure the safety and effectiveness of anesthesia machine use.It classifies and analyzes anesthesia machine faults and constructs a fault tree,utilizing the probability reasoning ability of Bayesian networks for fault diagnosis,prediction,and fault importance analysis.
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