可测量潜在故障模式的特种设备可靠寿命预测

doi:10.12068/j.issn.1005-3026.2014.01.021

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (1): 88-92.DOI: 10.12068/j.issn.1005-3026.2014.01.021

可测量潜在故障模式的特种设备可靠寿命预测

杨强¹，孙志礼¹，赵鑫^1,2，张磊¹

(1东北大学机械工程与自动化学院，辽宁沈阳110819； 2辽宁省安全科学研究院，辽宁沈阳110004)

收稿日期:2013-04-01 修回日期:2013-04-01 出版日期:2014-01-15 发布日期:2013-07-09
通讯作者: 杨强
作者简介:杨强(1980-)，男，辽宁鞍山人，东北大学讲师，博士；孙志礼(1957-)，男，山东巨野人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(51205052)；国家科技支撑计划项目(2011BAK06B05).

Reliable Life Prediction for Special Equipments with the Measurable Potential Failure Mode

YANG Qiang¹， SUN Zhili¹， ZHAO Xin^1,2， ZHANG Lei¹

1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. Liaoning Academy of Safety Science， Shenyang 110004， China.

Received:2013-04-01 Revised:2013-04-01 Online:2014-01-15 Published:2013-07-09
Contact: YANG Qiang
About author:-
Supported by:
-

摘要/Abstract

摘要： 由于失效样本少，传统的可靠性分析方法并不适用于特种设备的寿命预测.根据产品研制阶段的实验数据和同类产品的相关历史记录确定可靠性评估的验前信息.结合小样本现场试验数据，应用Bayes方法融合产品的验前信息和现场信息，得到产品寿命的验后分布，进而建立产品可靠寿命的预测模型.以桥式起重机为例，针对具有可测量退化量的潜在故障模式——主梁下挠超标，推导了主梁两阶段可靠寿命的退化规律，得出了在给定可信度下主梁从下挠值为0至发生潜在故障和发生潜在故障后继续使用至发生功能故障的工作时间，进而为主梁的检测和维修提供理论基础.该研究对于缺乏大样本试验数据的特种设备的可靠寿命预测与风险预防具有借鉴意义.

关键词: 机电类特种设备, 可靠性评估, 寿命, 起重机, Bayes方法, 小样本

Abstract: The traditional reliability analysis method of huge data samples cannot be applied to life prediction of the special equipments because of lacking failure samples. Prior information of reliability estimation can be calculated according to the failure data from laboratory during designing and precious records of similar products. Then， the reliability estimation modal was built based on Bayes theorem combining prior information with small samples from field test， and the posterior distribution was obtained. Taking the main beam deflection of overhead travelling crane as one measurable potential failure mode， reliable life prediction of twocycle is realized， i. e. the work time from deflection zero to potential failures and work time from potential failures to functional failure are calculated. The research provides not only some theoretical basis for the main beam inspection and maintenance but also a reference for reliable life prediction and risk prevention of special equipments which lack failure data from factory and laboratory.

Key words: mechanicalelectrical special equipments, reliability assessment, life, crane, Bayes theorem, small sample

中图分类号:

TH112

杨强，孙志礼，赵鑫，张磊. 可测量潜在故障模式的特种设备可靠寿命预测[J]. 东北大学学报:自然科学版, 2014, 35(1): 88-92.

YANG Qiang， SUN Zhili， ZHAO Xin， ZHANG Lei. Reliable Life Prediction for Special Equipments with the Measurable Potential Failure Mode[J]. Journal of Northeastern University Natural Science, 2014, 35(1): 88-92.

参考文献

[1] Marhavilas P K，Koulouriotis D，Gemeni V.Risk analysis andassessment methodologies in the work sites:on a review，classification and comparative study of the scientific literature of the period 2000/2009［J］.Journal of Loss Prevention in the Process Industries，2011，24(5):477/523.
[2] Pinto A，Nunes I L，Ribeiro R A.Occupational risk assessment in construction industry—overview and reflection［J］.Safety Science，2011，49(5):616/624.
[3] Li D C，Chang F M，Chen K C.Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets ［J］.Expert Systems with Applications，2010，37(4):3434/3443.
[4] Paokanta P，Harnpornchai N，Chakpitak N，et al.Parameter estimation of binomial logistic regression based on classical (maximum likelihood) and Bayesian (MCMC) approach for screening βThalassemia［J］.International Journal of Intelligent Information Processing，2012，3(1):90/100.
[5] 明志茂，张云安，陶俊勇，等.研制阶段系统可靠性增长的Bayesian评估与预测［J］.机械工程学报，2010，46(4):150/155.(Ming Zhimao，Zhang Yunan，Tao Junyong，et al.Bayesian reliability assessment and prediction during product development［J］.Journal of Mechanical Engineering，2010，46(1):150/155.
[6] Ozden C，Kadir O，Ovunc T，et al.Fatigue life prediction of existing crane runway girders［J］.Journal of Constructional Steel Research，2010，66(11):1164/1173.
[7] Kopnov V A.Fatigue life prediction of the metalwork of a traveling gantry crane ［J］.Engineering Failure Analysis，1999，6(3):131/141.
[8] 徐格宁，范小宁，陆凤仪，等.起重机焊接箱形梁疲劳可靠度及初始裂纹的蒙特卡罗仿真［J］.机械工程学报，2011，47(20):41/44.(Xu Gening，Fan Xiaoning，Lu Fengyi，et al.Monte Carlo simulation of fatigue reliabilities and initial cracks for welded box girders of crane［J］.Journal of Mechanical Engineering，2011，47(20):41/44.)

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可测量潜在故障模式的特种设备可靠寿命预测

Reliable Life Prediction for Special Equipments with the Measurable Potential Failure Mode

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