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1.
Yimin Zhang Qiaoling Liu Bangchun Wen 《Journal of Mechanical Science and Technology》2007,21(6):908-912
The reliability sensitivity analysis of uncertain multi-degree-of-freedom nonlinear vibration systems with independent failure
modes subjected to random excitation is examined. An earlier version of the statistical fourthmoment method is extended to
deal with vector-valued and matrix-valued functions and is developed to determine the first four moments of the system response
and state function. Random variables and system derivatives are conveniently arranged into 2D matrices by means of Kronecker
algebra. The distribution function of the system state function is approximately determined by the standard normal distribution
functions using Edgeworth series technique, and its reliability and reliability sensitivity are presented and discussed. 相似文献
2.
交流接触器广泛用于电力系统,精准评估其可靠性是保障系统安全平稳运行的关键。现有交流接触器可靠性研究没有考虑三相触头的竞争失效、退化相关性,及各相触头失效阈值均有随机性等问题,可能造成可靠性评估不精准。针对这些问题,本文用累积电弧侵蚀量表征性能状态,建立了考虑竞争失效、退化相关性和失效阈值随机性的退化模型;对模型参数较多且难以同时估计所有参数的问题,提出了基于极大似然估计的多阶段参数估计方法;基于蒙特卡洛技术提出了可靠度近似计算方法,并基于黎曼和技术推导出平均故障时间的近似式;最后,通过仿真与实例分析验证了所提方法的有效性。实例分析表明所提可靠性评估方法精度较高,其拟合优度比现有方法提升了约45%。 相似文献
3.
为了给数控装备可靠性预测提供更丰富、更精确、更及时的信息源,探讨了运用数控装备使用过程中的性能劣化数据对数控装备可靠性进行预测的方法与工具。给出基于性能状态监测的性能劣化建模与可靠性预测原理,并提出一种基于非平稳自回归积分滑动平均模型的数控装备性能劣化建模方法,以监测与分析数控装备关键性能参数的时变特性;提出基于隐马尔科夫链模型的数控装备可靠性预测方法,以揭示数控装备使用过程中的性能状态变化特征及其可靠性变动情况。在此基础上,开发了数控装备可靠性预测原型软件系统。该系统对于提高数控装备利用率、减少数控装备维修费用以及延长数控装备使用寿命等具有重要的意义。 相似文献
4.
针对具有相关失效模式的结构系统可靠性分析问题,提出利用Copula计算结构系统的失效概率。Copula函数可以采用多种边缘分布函数来推求联合分布函数,构造随机变量间的相关结构。该方法分别以各失效模式的功能函数值为Copula分析变量,利用MATLAB软件和Monte Carlo模拟法产生的随机抽样数据估计Copula参数,实现各功能函数间的联合概率分布函数的Copula建模,从而可以利用Copula计算结构系统的失效概率。最后用工程算例验证该理论方法的可行性,为具有相关失效模式的结构系统可靠性分析提供新途径。 相似文献
5.
针对电子设备的测试和故障识别提出了一种基于性能退化数据的缓变故障预报方法.重点针对如何体现电子设备功能模块状态与其性能退化数据和故障树之间的内在关系开展建模研究,将难于定量描述的映射关系通过模糊神经网络转化为定性描述的映射关系,结合时间序列分析对性能退化趋势进行评估和判断,为电子设备缓变故障的预报和故障源定位提供了一种便于工程实现的建模方法.以功能模块为基本的故障定位单位,以性能检测数据、可靠性数据、故障树和故障机理等为输入,建立了基于故障树的时间序列神经网络拟合模型,采用时间序列分析对性能退化数据的波动趋势建立分析模型,利用基于故障决策树的模糊神经网络对系统可能故障来源建立判断识别和预报模型,基于非参数密度估计和假设检验方法对预报可信性建立评估模型,从而提高了故障预报的准确性. 相似文献
6.
针对利用产品性能退化数据进行可靠性分析而采用固定失效阀值评价时,忽略实际工程中多因素对失效阀值影响的问题,根据产品的失效阀值具有模糊性的特点,在固定失效阀值基础上,引入模糊区间代替固定失效阀值,形成模糊失效阀值,推导并给出了在模糊失效阀值的情况下,产品基于性能退化数据的计算方法,使得理论方法与工程实际更加接近.通过工程实例比较分析,表明方法的可行性和优点. 相似文献
7.
退化过程建模与预测作为设备健康管理的基础,是降低运行风险和维护成本的有效途径。为解决实际中退化过程所表现出的随机性、非线性和多阶段复杂性,提出了一种基于函数主元分析的多阶段退化过程自适应建模与预测方法。通过将退化测量值视为连续函数的离散采样值,从而将退化建模问题转换为函数型数据分析问题。在此基础上,利用函数主元分析方法对退化数据进行降维,提取设备退化的共性信息以及个体差异性信息。结合贝叶斯推理,利用在线监测数据更新退化模型参数,实现健康状态的在线实时预测。最后,将所提的方法用于散热风扇的加速寿命试验数据,验证了本方法的有效性。结果表明,所提方法可以地很好建模多阶段的复杂随机退化过程,具有潜在的工程应用价值。 相似文献
8.
《计算机集成制造系统》2015,(6)
为准确评估复杂系统的运行可靠性,针对复杂系统的失效规律和特点,提出考虑多失效模式的运行可靠性评估方法。采用贝叶斯线性模型融合状态监测信息,评估退化水平,建立基于Gamma随机过程的退化失效可靠性评估模型;针对突发失效样本量小的特点,采用贝叶斯方法,建立基于Weibull分布的突发失效可靠性评估模型。以退化失效可靠性评估和突发失效可靠性评估为基础,应用贝叶斯模型平均技术建立复杂系统的运行可靠性评估模型,定量分析退化失效和突发失效对复杂系统运行可靠性的影响,并采用马尔科夫链-蒙特卡洛方法求解模型。以某型航空发动机为例,说明了该方法的应用过程,验证了该方法的有效性。 相似文献
9.
This work aims at associating two classical approaches for the design of composite materials: first, reliability methods that allow to account for the various uncertainties involved in the composite materials behaviour and lead to a rational estimation of their reliability level; on the other hand, micromechanics that derive macroscopic constitutive laws from micromechanical features. Such approach relies on the introduction of variabilities defined at the microscale and on the investigation of their consequences on the material macroscopic response through an homogenization scheme. Precisely, we propose here a systematic treatment of variability which involves a strong link between micro- and macroscales and provides a more exhaustive analysis of the influence of uncertainties. The paper intends to explain the main steps of such coupling and demonstrate its interests for material engineering, especially for constitutive modelling and composite materials optimization. An application case is developed throughout on the failure of unidirectional carbon fibre-reinforced composites with a comparative analysis between experimental data and simulation results. 相似文献
10.
Although many methodologies for predicting the reliability of electronic components have been developed, their reliability
might be subjective according to a particular set of circumstances, and therefore it is not easy to quantify their reliability.
Among the reliability prediction methods are the statistical analysis based method, the similarity analysis method based on
an external failure rate database, and the method based on the physics-of-failure model. In this study, we developed a system
by which the reliability of electronic components can be predicted by creating a system for the statistical analysis method
of predicting reliability most easily. The failure rate models that were applied are MILHDBK-217F N2, PRISM, and Telcordia
(Bellcore), and these were compared with the general purpose system in order to validate the effectiveness of the developed
system. Being able to predict the reliability of electronic components from the stage of design, the system that we have developed
is expected to contribute to enhancing the reliability of electronic components. 相似文献
11.
Chingiz Hajiyev 《Measurement》2011,44(9):1543-1550
An approach to predict failure in the measurement system is developed. Proposed approach uses confidence and tolerance intervals for the innovation of Kalman filter and it is based on the criterion of overlapping these intervals whereby it allows the detection of potential failures in the system. The proposed failure prediction method is well suited to realize detection of constant shifting and slowly varied failures, such as distortion in measuring instruments and gyroscope axes shifting in navigation systems. The method is simple and permits to solve the problem of failure prediction in the measurement system under the conditions of its practical operation. 相似文献
12.
13.
Qiong Wu Jianzhong Yang Jingyan Wang Li Xue 《Journal of Mechanical Science and Technology》2014,28(10):3971-3976
Degradation test is an important method to assess the reliability of complex systems and highly reliable products. The effectiveness of a degradation model depends strongly on the suitability of the model to describe the process. This paper proposes a new degradation model in which the characteristics of the widely used stochastic process and degradation path models are considered simultaneously. According to the proposed model, closed-form expressions of the performance distribution, failure time distribution and their percentiles, as well as reliability, can be obtained easily. A one-stage procedure is then developed to estimate the model parameters, based on which, estimations of the performance distribution, failure time distribution, and reliability are also presented in the paper. Finally, simulation studies are conducted to validate the proposed method. Results suggest that the method provides precise estimates even for zero-failure cases or an extremely small sample size of approximately five. 相似文献
14.
15.
基于竞争威布尔模型的加工中心可靠性评估 总被引:1,自引:0,他引:1
为了实现故障数据按故障机制的分类,使用竞争威布尔模型对加工中心可靠性进行评估,通过故障特征属性和故障信息序列概念的定义,以故障信息序列表示故障,利用模糊聚类的方法对故障信息序列按故障机制相似性进行分类;利用自助法和基于灰色预测的改进自助法实现小子样评估中威布尔模型的参数估计;通过实例验证了该模型和方法的可用性。 相似文献
16.
Stick-slip phenomena occur with low speed rotors in fluid bearings. A typical case is the turning gear mechanism of large turbomachinery which becomes vulnerable to damage. In other cases such as rolling mills or textile machinery the stick-slip phenomenon influences product quality.An analytical investigation of a linear rotor with a complex turning gear system of many degrees of freedom is presented. Gearing backlash was included in the model. The mechanism of backlash was found to be of considerable importance for the appearance of instability. Velocity and damping were the most influential factors on the amplitude of stick-slip motion and instability.In highly unstable areas of system operation, stick-slip is not present owing to the violent nature of the unstable motion. At the onset of instability and during the transients of stable systems, stick-slip is present. Fatigue damage may result from gear backlash, even in stable systems. 相似文献
17.
Changqing Su Yimin Zhang Qunchao Zhao 《Journal of Mechanical Science and Technology》2011,25(12):3123-3133
The vibration problem of the general system is the main object of research. The material properties and geometry of general
system are random parameters because of the manufacturing environment, technical conditions, manufacturing and installation
errors, multiphase materials, features and other factors. According to the relation criterion that the difference between
the natural frequency and the driving frequency of general systems is not beyond a specific value, the vibration reliability
mode and vibration reliability of general systems are defined considering the correlation of the multi-order natural frequency
and the random characteristics of structure size and material, and the vibration reliability analysis method for avoiding
the resonant is carried out. The second-order joint failure probability is obtained by using the numerical integration method.
Based on the reliability design theory and sensitivity analysis method, the vibration reliability sensitivity of the general
system with correlation failure modes is extensively discussed and a numerical method for vibration reliability sensitivity
design is presented. The variation regularities of vibration reliability sensitivity are obtained and the effects of random
parameters on vibration reliability of the general system are studied. The presented method provided the theoretic basis for
the reliability design of the general system. A numerical example demonstrated that the proposed method is effective. 相似文献
18.
《Mechanical Systems and Signal Processing》2007,21(2):973-993
This paper presents a detailed numerical and experimental study of a mechanical system comprising a backlash element that shows chaotic behaviour in a certain excitation range. It aims to quantify the chaotic behaviour of the responses and correlate the quantification parameters to the parameters of the (non-linear) system, in particular the backlash size. The motivation for this investigation is to be able ultimately to identify the parameters of non-linear systems without necessarily being able to ensure periodic behaviour. Application of surrogate data tests is utilised to prove the presence of the chaotic behaviour in the response. The Simple Non-linear Noise Reduction is applied to the resulting data to have a better interpretation of the chaotic in the response. 相似文献
19.
为预测短期内机械生产实验的数据分布规律,以更好地指导生产和提高工作效率,充分利用计算机模拟研究的优势,基于金属切削工艺加工的部分实验数据,利用线形回归模型、灰色模型和神经网络模型对实验数据进行了分析处理并建立了小样本数据的综合预测模型。研究结果表明小样本预测模型是可行的,它对机械工程各种相关实验数据的短期预测都具有普遍适用性,同时提供了可以快速了解数据在未来分布规律的方法。 相似文献