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[Intelligent fault diagnosis expert system for multi-parameter monitor based on fault tree].
Fan, Liping; Lang, Lang; Xiao, Jingjing; Zhang, Shihui; Chong, Yinbao; Lyu, Simin.
Afiliação
  • Fan L; Department of Medical Engineering, The Second Affiliate Hospital of Army Medical University, Chongqing 400037, P. R. China.
  • Lang L; Department of Medical Engineering, No. 922 Hospital of Joint Logistics Support Force, Hengyang, Hunan 421200, P. R. China.
  • Xiao J; Department of Medical Engineering, The Second Affiliate Hospital of Army Medical University, Chongqing 400037, P. R. China.
  • Zhang S; Department of Medical Engineering, The Second Affiliate Hospital of Army Medical University, Chongqing 400037, P. R. China.
  • Chong Y; Department of Medical Engineering, The Second Affiliate Hospital of Army Medical University, Chongqing 400037, P. R. China.
  • Lyu S; Department of Medical Engineering, The Second Affiliate Hospital of Army Medical University, Chongqing 400037, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 39(3): 586-595, 2022 Jun 25.
Article em Zh | MEDLINE | ID: mdl-35788529
ABSTRACT
Aiming at the dilemma of expensive and difficult maintenance, lack of technical data and insufficient maintenance force for modern medical equipment, an intelligent fault diagnosis expert system of multi-parameter monitor based on fault tree was proposed in this study. Firstly, the fault tree of multi-parameter monitor was established and analyzed qualitatively and quantitatively, then based on the analysis results of fault tree, the expert system knowledge base and inference engine were constructed and the overall framework of the system was determined, finally the intelligent fault diagnosis expert system for multi-parameter monitor was developed by using the page hypertext preprocessor (PHP) language, with an accuracy rate of 80% in fault diagnosis. The results showed that technology fusion on the basis of fault tree and expert system can effectively realize intelligent fault diagnosis of multi-parameter monitors and provide troubleshooting suggestions, which can not only provide experience accumulation for fault diagnosis of multi-parameter monitors, but also provide a new idea and technical support for fault diagnosis of medical equipment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas Inteligentes Tipo de estudo: Diagnostic_studies Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas Inteligentes Tipo de estudo: Diagnostic_studies Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2022 Tipo de documento: Article