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基于改进粒子滤波算法的医用超声设备寿命预测研究

吴一未 张晔 王文杰 金伟

中国医疗设备2024,Vol.39Issue(8):25-31,7.
中国医疗设备2024,Vol.39Issue(8):25-31,7.DOI:10.3969/j.issn.1674-1633.2024.08.004

基于改进粒子滤波算法的医用超声设备寿命预测研究

Research on Life Prediction of Medical Ultrasonic Equipment Based on Improved Particle Filter Algorithm

吴一未 1张晔 1王文杰 1金伟2

作者信息

  • 1. 南京医科大学附属无锡人民医院 医学工程处,江苏 无锡 214000
  • 2. 南京医科大学附属无锡人民医院 信息大数据中心,江苏 无锡 214000
  • 折叠

摘要

Abstract

Objective To design a method for predicting the lifespan of medical ultrasound equipment based on an improved particle filter algorithm,to solve the problems of inaccurate analysis of equipment degradation process in traditional medical ultrasound equipment lifespan prediction,which lead to the inability to update prediction model parameters in real time and a decrease in prediction accuracy.Methods Firstly,the entire lifecycle of medical ultrasound equipment was divided into normal degradation state and imperfect maintenance degradation state.The equipment degradation process was analyzed,and a life prediction model was established based on the degradation process of medical ultrasound equipment.Then,the maximum likelihood theory was used to calculate the degradation parameters in the model,and the model parameters were randomly updated based on actual degradation data to obtain a life prediction model that was more in line with the actual degradation process of the equipment.Finally,the improved particle filter algorithm was used to solve the model and obtain the life prediction results of medical ultrasound equipment.Results The model established by the proposed method had a coefficient of determination above 0.80 and was closer to 1,with a high accuracy in predicting the lifespan of medical ultrasound equipment,with an average of 88.5%.Conclusion The improved particle filter algorithm has a high accuracy and reliability in predicting the lifespan of medical ultrasound equipment,which can effectively identify early signs of equipment failure,take maintenance or replacement measures in advance,and avoid possible equipment damage and downtime.

关键词

改进粒子滤波算法/医用超声设备/寿命预测/退化过程/模型参数更新

Key words

improved particle filter algorithm/medical ultrasound equipment/life prediction/degradation process/model parameter update

分类

医药卫生

引用本文复制引用

吴一未,张晔,王文杰,金伟..基于改进粒子滤波算法的医用超声设备寿命预测研究[J].中国医疗设备,2024,39(8):25-31,7.

基金项目

江苏省优势学科建设工程项目(YSHL0804-418). (YSHL0804-418)

中国医疗设备

OACSTPCD

1674-1633

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