作者：陈锦汉, 余荣斌
作者单位：广东产品质量监督检验研究院, 广东 广州 510330
关键词：改进FMECA;工业机器人;失效风险分析;模糊综合评判
摘要：
针对传统失效模式、影响及危害性分析（FMECA）方法利用风险优先数（RPN）对失效风险进行量化排序存在RPN量化取值不连续，指标自身无明确物理意义、受主观影响较大，指标设计未考虑权重因子等缺陷，该文提出一种基于风险度量和风险排序的改进FMECA模糊综合评判法，设计重复偏差率P、维修费用W和发生概率O的全新评估指标集，利用模糊综合评判，引入层次分析法进行权重赋值。结果表明：该方法可以有效改善FMECA方法量化排序不合理、重复现象，实现指标评价的客观化、意义化和风险评价指标的量化连续性、权重化，提高工业机器人失效风险分析结果可信性。
Failure risk analysis for industrial robot based on improved FMECA
CHEN Jinhan, YU Rongbin
Guangdong Testing Institute of Product Quality Supervision, Guangzhou 510330, China
Abstract: Aiming at the defect such as discontinuous quantitative of risk priority number(RPN) of quantitatively ordination, no clear physical meaning of index itself, large subjective influence, no weighting factor considered for index design of traditional failure mode, effects and criticality analysis(FMECA), a new method of improved FMECA fuzzy comprehensive evaluation based on risk measurement and risk ranking is presented, which is used to evaluate brand new assessment index set of designing repeatability error rate P, maintenance cost W and probability O, using the fuzzy comprehensive evaluation to judge, and analytic hierarchy process is introduced for weight assignment. Results show that the method can effectively improve the unreasonable FMECA quantitatively ordination and repetition, which achieves objective and significantindex evaluation and quantitative continuity and the weight of risk evaluation index, and improves the credibility of failure risk analysis results of industrial robot.
Keywords: improved FMECA;industrial robot;failure risk analysis;fuzzy comprehensive evaluation
2017, 43(7): 16-19 收稿日期: 2017-03-21;收到修改稿日期: 2017-04-19
基金项目: 国家质量监督检验检疫总局资助项目（2016QK025）
作者简介: 陈锦汉(1960-),男,江西高安市人,高级工程师,主要从事检验检测技术研究及管理工作。
参考文献
[1] 王田苗,陶永. 我国工业机器人技术现状与产业化发展战略[J]. 机械工程学报,2014,50(9):1-13.
[2] 任志刚. 工业机器人的发展现状及发展趋势[J]. 装备制造技术,2015(3):166-168.
[3] BROGARDH T. Present and future robot control devel-opment-An industrial perspective[J]. Annual Reviews in Control,2007,31(1):69-79.
[4] 李彤,贾庆轩,陈钢,等. 面向轨迹跟踪任务的机器人运动可靠性评估[J]. 系统工程与电子技术,2014,36(12):2556-2561.
[5] LIU H C, LIU L, LIU N. Risk evaluation approaches in failure mode and effects analysis:A literature review[J]. Expert Systems with Applications,2014,40(2):828-838.
[6] 黄健宇. 论FMEA的分析与应用[J]. 机械工业标准化与质量,2007(4):37-41.
[7] 毛月秋. 项目风险度量、排序和评价方法的研究评述[J]. 西南农业大学学报(社会科学版),2014,9(6):42-43.
[8] 向鹏成,赵艳玲,王林. 项目风险的多维描述与度量[J]. 重庆大学学报(自然科学版),2011(4):148-152.
[9] 斯泰蒙迪斯. 故障模式影响分析FMEA从理论到实践[M]. 陈晓彤,姚绍华,译. 北京:国防工业出版社,2010:46-47.
[10] DEWI D S, SYAIRUDIN B, NIKMAH E N. Risk management in new product development process for fashion industry:case study in hijab industry[J]. Procedia Manufacturing,2015,4:383-391.
[11] 姚立真. 可靠性物理[M]. 北京:电子工业出版社,2004:69-70.
[12] LI W, SHANG Y M, JI Y J. Analysis of multiple objective decision methods based on entropy weight[J]. Computational Intelligence and Industrial Application,2008,1(12):953-956.
[13] 骆正清,杨善林. 层次分析法中几种标度的比较[J]. 系统工程理论与实践,2004,24(9):51-60.
