送料系统故障发生是影响剪切机正常运行的主要因素,在分析送料系统工作原理的基础上提出基于故障树分析法(fault tree analysis,FTA)对送料系统进行可靠性分析,并运用MATLAB开发出可靠性数据分析平台,对送料系统的试验数据进行处理,精...送料系统故障发生是影响剪切机正常运行的主要因素,在分析送料系统工作原理的基础上提出基于故障树分析法(fault tree analysis,FTA)对送料系统进行可靠性分析,并运用MATLAB开发出可靠性数据分析平台,对送料系统的试验数据进行处理,精确地计算其可靠度、失效率、平均故障前时间(mean time to failure,MTTF)等可靠性参数。研究结果表明:销轴和传动轴是影响送料系统可靠性最主要零件;高辐照环境是影响送料系统可靠性的最主要因素;可靠性数据分析平台可实现对送料系统可靠性试验数据可视化、自动化和实时化处理。展开更多
Reliability parameter selection is very important in the period of equipment project design and demonstration. In this paper, the problem in selecting the reliability parameters and their number is proposed. In order ...Reliability parameter selection is very important in the period of equipment project design and demonstration. In this paper, the problem in selecting the reliability parameters and their number is proposed. In order to solve this problem, the thought of text mining is used to extract the feature and curtail feature sets from text data firstly, and frequent pattern tree （FPT） of the text data is constructed to reason frequent item-set between the key factors by frequent patter growth （FPC） algorithm. Then on the basis of fuzzy Bayesian network （FBN） and sample distribution, this paper fuzzifies the key attributes, which forms associated relationship in frequent item-sets and their main parameters, eliminates the subjective influence factors and obtains condition mutual information and maximum weight directed tree among all the attribute variables. Furthermore, the hybrid model is established by reason fuzzy prior probability and contingent probability and concluding parameter learning method. Finally, the example indicates the model is believable and effective.展开更多
根据弹用涡扇发动机的结构和使用特点,选择平均故障间隔时间MTBF(Mean Time Between Failure)、起动可靠度RST(Rate of Startup Successfully)、平均故障前工作时间MTTF(Mean Time To Failure)作为弹用涡扇发动机的可靠性参数体系.MTBF...根据弹用涡扇发动机的结构和使用特点,选择平均故障间隔时间MTBF(Mean Time Between Failure)、起动可靠度RST(Rate of Startup Successfully)、平均故障前工作时间MTTF(Mean Time To Failure)作为弹用涡扇发动机的可靠性参数体系.MTBF是反映发动机基本可靠性参数,利用Bayes数据融合技术建立MTBF评定模型.RST是反映发动机起动可靠性参数,利用基于故障树分析方法建立起动可靠性评定模型.MTTF是反映发动机任务可靠性参数,基于在任务期间发动机关键件的寿命分布模型进行可靠性评定.通过应用表明:评定参数选择合理,指标评定方法有效,为评估弹用发动机在研制、生产、使用阶段的可靠性水平提供了参考依据.展开更多
文摘送料系统故障发生是影响剪切机正常运行的主要因素,在分析送料系统工作原理的基础上提出基于故障树分析法(fault tree analysis,FTA)对送料系统进行可靠性分析,并运用MATLAB开发出可靠性数据分析平台,对送料系统的试验数据进行处理,精确地计算其可靠度、失效率、平均故障前时间(mean time to failure,MTTF)等可靠性参数。研究结果表明:销轴和传动轴是影响送料系统可靠性最主要零件;高辐照环境是影响送料系统可靠性的最主要因素;可靠性数据分析平台可实现对送料系统可靠性试验数据可视化、自动化和实时化处理。
基金the Weapon Equipment Beforehand Research Foundation of China(No.9140A19030314JB35275)the Army Technology Element Foundation of China(No.A157167)
文摘Reliability parameter selection is very important in the period of equipment project design and demonstration. In this paper, the problem in selecting the reliability parameters and their number is proposed. In order to solve this problem, the thought of text mining is used to extract the feature and curtail feature sets from text data firstly, and frequent pattern tree （FPT） of the text data is constructed to reason frequent item-set between the key factors by frequent patter growth （FPC） algorithm. Then on the basis of fuzzy Bayesian network （FBN） and sample distribution, this paper fuzzifies the key attributes, which forms associated relationship in frequent item-sets and their main parameters, eliminates the subjective influence factors and obtains condition mutual information and maximum weight directed tree among all the attribute variables. Furthermore, the hybrid model is established by reason fuzzy prior probability and contingent probability and concluding parameter learning method. Finally, the example indicates the model is believable and effective.
文摘根据弹用涡扇发动机的结构和使用特点,选择平均故障间隔时间MTBF(Mean Time Between Failure)、起动可靠度RST(Rate of Startup Successfully)、平均故障前工作时间MTTF(Mean Time To Failure)作为弹用涡扇发动机的可靠性参数体系.MTBF是反映发动机基本可靠性参数,利用Bayes数据融合技术建立MTBF评定模型.RST是反映发动机起动可靠性参数,利用基于故障树分析方法建立起动可靠性评定模型.MTTF是反映发动机任务可靠性参数,基于在任务期间发动机关键件的寿命分布模型进行可靠性评定.通过应用表明:评定参数选择合理,指标评定方法有效,为评估弹用发动机在研制、生产、使用阶段的可靠性水平提供了参考依据.
