基于改进粒子滤波算法的医用超声设备寿命预测研究OACSTPCD

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.