机器人外科学杂志（中英文）2026，Vol.7Issue(3)：492-497,6.DOI:10.12180/j.issn.2096-7721.2026.03.021
达芬奇手术机器人设备故障模式分析及预防性维护策略研究
Analysis of equipment failure modes and preventive maintenance strategies for Da Vinci surgical robots
摘要
Abstract
Objective:To analyze the failure modes,patterns and underlying causes of the Da Vinci surgical robot,and to establish a scientific and efficient preventive maintenance strategy to improve equipment reliability,ensure surgical safety,and control operation and maintenance costs.Methods:A retrospective analysis was conducted on 62 repair records of the Da Vinci Si surgical system in the General Hospital of Eastern Theater Command from January 2022 to December 2024.Failure mode,effects,and criticality analysis(FMECA)was used to classify data including equipment model,failure modules,phenomena,occurrence timing,repair time,and maintenance costs for root cause analyzing.Results:Among the 107 individual failure events in the 62 fault repair records,the failure rates of the robotic arm(38.32%),imaging system(28.04%),and main console(18.69%)were the highest.Failures mostly occurred during surgery(45.79%)and during power-on self-check(32.71%).When responsibility lay with the original equipment manufacturer(OEM),mean response time,diagnostic time,repair time,and total downtime were significantly longer than those when responsibility lay with the hospital(P<0.05).The robotic arm(complete set)had the highest single replacement cost(180,000 CNY)and total cost(540,000 CNY),while EndoWrist surgical instruments showed the highest replacement frequency(29 times).FMECA showed that the highest risk priority numbers(RPN)were manipulator joint overload,stereoscopic lens surface contamination,CCD camera aging.Conclusion:Failures of Da Vinci surgical robot has significant regularity and module concentration.Developing targeted preventive maintenance strategies centered on periodic deep maintenance,predictive replacement of key components based on lifespan prediction,and strengthening intraoperative operational standards can reduce the frequency of high-RPN failures and ensure patient safety.关键词
手术机器人/设备故障/故障模式与影响分析/预防性维护/医疗设备管理Key words
Surgical Robot/Equipment Failure/Failure Mode and Effects Analysis/Preventive Maintenance/Medical Equipment Management分类
信息技术与安全科学引用本文复制引用
金鑫,袁翰超,叶源..达芬奇手术机器人设备故障模式分析及预防性维护策略研究[J].机器人外科学杂志（中英文）,2026,7(3):492-497,6.基金项目
江苏省自然科学基金(BK20181113) Natural Science Foundation of Jiangsu Province(BK20181113) （BK20181113）
