Reliability evaluation of PMS considering coupling effect of functional and physical dependency

Aviation and aerospace system are typical Phased-Mission Systems(PMSs) featured with varying configuration, phased load condition and cross phase failure correlation. The coupling effect of Functional Dependency(FDEP) and Physical Dependency(PDEP) has a unique influence on the failure behavior of PMS. In this article, the coupling effect is analyzed, and the degradation of components is modeled with the positive drift wiener process, in which the drift coefficient is related to environmental con...     

Reliability and global sensitivity analysis for an airplane slat mechanism considering wear degradation

This paper focuses on the issue of reliability and global sensitivity analysis for an airplane slat mechanism considering the uncertainties in the wear process of mechanical components. First, the multi-body kinematic model of the slat mechanism is built in the ADAMS software. The geometrical sizes of the roller wheels after wear degradation are considered as input variables and the angle the slat should turn is considered as the output response. To accurately identify the influential roller wheels to the reliability and robustness of the slat mechanism, the failure probability based sensitivity and variance-based sensitivity indices are introduced. Comprehensive analysis of the results have shown that the reliability analysis and global sensitivity theory can help engineers find significant parts by their contributions, thus provide guidance for mechanical design and maintenance.     

飞机锁类机构性能退化可靠性分析方法综述

随着航空航天装备的快速发展,对飞行器装备的可靠性要求逐渐提高,飞机锁类机构的可靠性对飞机起降的安全至关重要。以飞机舱门锁机构为研究对象,首先通过文献调研了大量舱门锁机构并分析了锁机构的特点和失效模式,阐述了锁机构的工作原理。其次综述了锁机构失效机理建模、机构渐变损伤的研究现状以及目前存在的问题,分析了国内外有关锁机构可靠性的研究现状;并针对多连杆机构可靠性分析和锁机构可靠性分析进行了分类梳理。最后对锁机构的可靠性分析研究思路进行总结,并对目前复杂锁机构的可靠性分析存在的问题及其研究趋势进行了展望。     

考虑多种物理效应的钝锥俯仰稳定性参数影响分析

首先采用二阶ROE格式计算了非定常NS方程下高超声速钝锥体的俯仰阻尼导数,通过与文献中内伏牛顿法和实验结果对比验证了本文所采用非定常计算方法的正确性.同时采用二阶ROE格式及双时间步长、刚性旋转动网格技术等,数值分析了NS方程计算条件下高空高马赫数钝锥体模型的强迫振动非定常流场特征,并运用最小二乘法辨识出其俯仰静稳定性导数与俯仰阻尼导数.通过计算结果对比分析了不同高度(含稀薄气体效应)、Maxwell滑移边界条件及五组元化学非平衡模型对钝锥体模型非定常流动特征及静、动导数的影响.结果分析表明,本文所计算的钝锥模型在所假设强迫振动下的俯仰稳定性参数随高度变化剧烈,且考虑滑移边界条件与化学反应会使得俯仰力矩迟滞曲线形态发生较大程度改变.准确计算高空、高马赫数条件下飞行器俯仰阻尼导数应考虑化学非平衡效应和稀薄气体效应的影响,是否考虑这些物理效应会关系到飞行器静、动稳定的程度.     

Multiscale modeling of mechanical behavior and failure mechanism of 3D angle-interlock woven aluminum composites subjected to warp/weft directional tension loading

The mechanical behavior and progressive damage mechanism of novel aluminum matrix composites reinforced with 3D angle-interlock woven carbon fibers were investigated using a multiscale modeling approach. The mechanical properties and failure of yarns were evaluated using a microscale model under different loading scenarios. On this basis, a mesoscale model was developed to analyze the tensile behavior and failure mechanism of the composites. The interfacial decohesion, matrix damage, and failure of fibers and yarns were incorporated into the microscopic and mesoscopic models. The stress–strain curves and fracture modes from simulation show good agreement with the experimental curves and fracture morphology. Local interface and matrix damage initiate first under warp directional tension. Thereafter, interfacial failure, weft yarn cracking, and matrix failure occur successively. Axial fracture of warp yarn, which displays a quasi-ductile fracture characteristic, dominates the ultimate composites failure. Under weft directional tension, interfacial failure and warp yarn rupture occur at the early and middle stages. Matrix failure and weft yarn fracture emerge simultaneously at the final stage, leading to the cata-strophic failure of composites. The weft directional strength and fracture strain are lower than the warp directional ones because of the lower weft density and the more serious brittle fracture of weft yarns.     

Reliability evaluation of avionics system with imperfect fault coverage and propagated failure mechanisms

Fault tolerance designs are essential techniques for systems that require high levels of reliability, such as aircraft or spacecraft control system. Imperfect Fault Coverage(IFC) may lead to the failure of a system or subsystem even with adequate redundancy. Previous studies of IFC mostly concentrated on evaluating Coverage Factor(CF), whereas the system failure behaviors with IFC have rarely been involved. Failures that occur in low-layer may be covered by highlayer. However, if the coverage is...     

Sensor selection of helicopter transmission systems based on physical model and sensitivity analysis

In the helicopter transmission systems, it is important to monitor and track the tooth damage evolution using lots of sensors and detection methods. This paper develops a novel approach for sensor selection based on physical model and sensitivity analysis. Firstly, a physical model of tooth damage and mesh stiffness is built. Secondly, some effective condition indicators(CIs) are presented, and the optimal CIs set is selected by comparing their test statistics according to Mann–Kendall test. Afterwards, the selected CIs are used to generate a health indicator(HI)through sen slop estimator. Then, the sensors are selected according to the monotonic relevance and sensitivity to the damage levels. Finally, the proposed method is verified by the simulation and experimental data. The results show that the approach can provide a guide for health monitoring of helicopter transmission systems, and it is effective to reduce the test cost and improve the system's reliability.     

Reliability estimation of mechanical seals based on bivariate dependence analysis and considering model uncertainty

The reliability estimation of mechanical seals is of crucial importance due to their wide applications in pumps in various mechanical systems. Failure of mechanical seals might cause leakage, and might lead to system failure and other relevant consequences. In this study, the reliability estimation for mechanical seals based on bivariate dependence analysis and considering model uncertainty is proposed. The friction torque and leakage rate are two degradation performance indicators of mechanical seals that can be described by the Wiener process, Gamma process, and inverse Gaussian process. The dependence between the two indicators can be described by different copula functions. Then the model uncertainty is considered in the reliability estimation using the Bayesian Model Average (BMA) method, while the unknown parameters in the model are estimated by Bayesian Markov Chain Monte Carlo (MCMC) method. A numerical simulation study and fatigue crack study are conducted to demonstrate the effectiveness of the BMA method to capture model uncertainty. A degradation test of mechanical seals is conducted to verify the proposed model. The optimal stochastic process models for two performance indicators and copula function are determined based on the degradation data. The results show the necessity of using the BMA method in degradation modeling.     

Fault diagnosis and isolation of the component and sensor for aircraft engine

Aircraft engine component and sensor fault detection and isolation approach was proposed,which included fault type detection module and component-sensor simultaneous fault isolation module. The approach can not only distinguish among sensor fault, component fault and component-sensor simultaneous fault, but also isolate and locate sensor fault and the type of engine component fault when the engine component fault and the sensor faults occur simultaneously. The double-threshold mechanism has been proposed, in which the fault diagnostic threshold changed with the sensor type and the engine condition, and it greatly improved the accuracy and robustness of sensor fault diagnosis system. Simulation results show that the approach proposed can diagnose and isolate the sensor and engine component fault with improved accuracy. It effectively improves the fault diagnosis ability of aircraft engine.      

A novel approach of testability modeling and analysis for PHM systems based on failure evolution mechanism

Prognostics and health management (PHM) significantly improves system availability and reliability, and reduces the cost of system operations. Design for testability (DFT) developed concurrently with system design is an important way to improve PHM capability. Testability modeling and analysis are the foundation of DFT. This paper proposes a novel approach of testability modeling and analysis based on failure evolution mechanisms. At the component level, the fault progression-related information of each unit under test (UUT) in a system is obtained by means of failure modes, evolution mechanisms, effects and criticality analysis (FMEMECA), and then the failure-symptom dependency can be generated. At the system level, the dynamic attributes of UUTs are assigned by using the bond graph methodology, and then the symptom-test dependency can be obtained by means of the functional flow method. Based on the failure-symptom and symptom-test dependencies, testability analysis for PHM systems can be realized. A shunt motor is used to verify the application of the approach proposed in this paper. Experimental results show that this approach is able to be applied to testability modeling and analysis for PHM systems very well, and the analysis results can provide a guide for engineers to design for testability in order to improve PHM performance.     

SHPB实验考虑绝热变形和端面摩擦的修正方法

采用高温分离式霍普金森压杆(SHPB)实验技术对GH4169高温合金进行测试,获得了材料在高应变率下的温度敏感性,并拟合了Johnson-Cook本构模型的参数。结合数值计算方法对压缩实验中试件内部的应力、应变以及温度的分布建立了一个半经验的数学模型并提出了一种新的参数修正方法,将端面摩擦效应、绝热变形升温效应与SHPB实验结果进行解耦。实验结果表明:温度越高,GH4169高温合金的屈服强度以及流动应力越小。并且在SHPB实验中GH4169高温合金存在明显的绝热变形升温效应和端面摩擦效应,导致实验结果并不能真实反映材料的硬化特性。通过对原始Johnson-Cook本构方程的硬化项乘以1.2的修正系数,发现修正后的本构参数准确反映了材料在高应变率下的应力应变特性。