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故障树分析法在超声诊断仪维护中的应用研究

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目的 运用故障树分析法对超声诊断仪的故障进行全面分析。方法 选择某三甲综合医院截止2021年12月的美国GE、荷兰飞利浦、德国西门子、美国索诺声等各品牌超声诊断仪设备60台,统计汇总其2020年至2021年2年维修数据,总计410台次。采用故障树分析法建立超声诊断仪故障树模型,即将超声诊断仪故障作为故障树的顶事件,将故障类别作为中间事件,向下逐级找出最小故障原因作为基本事件。以探头故障(M1)为例,探头故障原因包括透镜起泡开裂(X1)、探头外壳开裂(X2)、探头线缆破裂(X3)、探头接口故障(X4)、晶振故障(X5)及探头电路板故障(X6)共6个故障原因。对其进行定性和定量分析。结果 获得医用超声诊断仪故障树模型的定性和定量分析,概率重要度Ig(i)=∂Q(T)/∂Pi=Q(1i,T)-Q(0i,T)[式中:Q(T)表示故障树的故障概率函数;Pi表示第i个基本事件发生概率;Q(1i,T)表示第i个基本事件发生时顶事件T的发生概率;Q(0i,T)表示第i个事件不发生时顶事件发生概率]和关键重要度Icg(i)=lim(ΔQ/Q)/(ΔPi/Pi)=Pi/Q(T)x Ig(i)[式中:Ig(i)表示第i个基本事件的概率重要度]。引起超声诊断仪故障的最小割集数为28个,顶事件故障概率为0。438 472,通过定量分析找到对顶事件影响较大的6个基本事件[主机散热不良(X14)、系统软件故障(X10)、按钮故障(X17)、轨迹球故障(X19)、干扰故障(X25)、探头线缆破裂(X3)],并进行模型验证,提出了符合实际情况的维护保养意见。结论 故障树分析法在医用超声诊断仪维护应用中具有一定可行性,可为超声诊断仪的预防性维护和风险管控等提供决策依据。
Application of fault tree analysis in maintenance of ultrasonic diagnostic equipment
Objective To completely analyze the fault of ultrasonic diagnostic instrument by fault tree analysis.Methods A total of 60 ultrasonic diagnostic equipment of GE,Philips,Siemens,Sono and other brands were selected from one Class A ter-tiary general hospital by December 2021,and the maintenance data from 2020 to 2021 were summarized,with a total of 410 sets.The fault tree analysis method was used to establish fault tree model of ultrasonic diagnostic instrument.The fault of ul-trasonic diagnostic instrument was set as the top event of fault tree,the fault category was intermediate event,and minimum fault cause was found step by step downward as the basic event.The probe failure(M1)was taken as an example,and probe failure causes were included lens bubble cracking(X1),probe housing cracking(X2),probe cable cracking(X3),probe interface failure(X4),crystal vibration failure(X5),and probe circuit board failure(X6).The qualitative and quantitative analyses were per-formed.Results The qualitative and quantitative model of fault tree of medical ultrasonic diagnosis instrument was obtained,the probabilistic importance Ig(i)=∂Q(T)/∂Pi=Q(1i,T)-Q(0i,T)[Q(T):fault probability function of fault tree;Pi:i basic event probability;Q(1i,T):probability of T occurred at i basic event;Q(0i,T):probability of T occurred at non-i basic event]and critical importance Ig(i)=lim(ΔQ/Q)/(ΔPi/Pi)=Pi/Q(T)× Ig(i)[Ig(i):i basic event probabilistic importance].The minimum num-ber of cut sets that caused fault of ultrasonic diagnostic equipment was 28,and fault probability of top event was 0.438 472.Six basic events[poor heat dissipation of host(X 14),system software fault(X10),button fault(X17),trackball fault(X19),interfer-ence fault(X25),probe cable rupture(X3)]which had great impact on top events were found by quantitative analysis.The model was validated,and then maintenance advices were put forward according to actual situation.Conclusion It is demonstrated that the application of fault tree analysis method in maintenance of medical ultrasonic diagnostic equipment is feasible,which could provide decision support for preventive maintenance and risk control of ultrasonic diagnostic maintenance.

fault tree analysisultrasonic diagnostic equipmentqualitative analysisquantitative analysis

祁长红、张顼、刘平

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徐州医科大学附属连云港医院(连云港市第一人民医院)临床医学工程部,江苏连云港 222002

故障树分析法 超声诊断仪 定性分析 定量分析

连云港市科协软课题研究项目

Lkxqt2182

2024

生物医学工程与临床
天津市生物医学工程学会,天津市第三中心医院

生物医学工程与临床

CSTPCD
影响因子:0.462
ISSN:1009-7090
年,卷(期):2024.28(1)
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