Research on lease and sale of electric vehicles based on value engineering

Electric vehicles (EVs) acknowledged as potential means of transportation tools in the near future are widely accepted as the development trend of automobile industry due to its environment protection and fuel energy saving properties. As a product containing new technologies and concepts with little market experience and consumer identification, studying its life cycle operation modes will help to figure out an optimal approach to conduct EVs manufacturing and service. The two common operation modes, lease and sale of EVs, have their own advantages and weaknesses under different scenarios and consumer psychological status. Research and comparisons on the function, cost and value of two operation modes in full life cycle will simulate the rapid development of EVs forming a mature and dynamic operation mechanism. This paper utilised approaches in value engineering, putting forward customer requirements and technical elements of EV lease and sale based on quality assessment and customer-perceived value, proposing the metric method of function and cost coefficient by mathematical modelling, and conducting value coefficient analysis and comparison based on customer’s risk aversion psychology. An illustrative example raised for studying operation mode of three different kinds of EVs based on the analysis of value coefficient, providing guideline for manufacturer and servicers of EVs.     

Different Estimation Methods for Constant Stress Accelerated Life Test under the Family of the Exponentiated Distributions

The Accelerated Life Testing (ALT) has been used for a long time in several fields to obtain information on the reliability of product components and materials under operating conditions in a much shorter time. One of the main purposes of applying ALT is to estimate the failure time functions and reliability performance under normal conditions. This paper concentrates on the estimation procedures under ALT and how to select the best estimation method that gives accurate estimates for the reliability function. For this purpose, different estimation methods are used, such as maximum likelihood, least squares (LS), weighted LS, and probability weighted moment. Moreover, the reliability function under usual conditions is predicted. The estimation procedures are applied under the family of the exponentiated distributions in general, and for the exponentiated inverted Weibull (EIW) as a special case. Numerical analysis including simulated data and a real life data set is conducted to compare the performances between these four methods. It is found that the ML method gives the best results among other estimation methods. Finally, a comparison between the EIW and the Inverted Weibull (IW) distributions based on a real life data set is made using a likelihood ratio test. It is observed that the EIW distribution can provide better fitting than the IW in case of ALT. Copyright © 2015 John Wiley & Sons, Ltd.     

Enhanced assessment of ageing phenomena in steel structures based on materials data and non‐destructive testing

The increasing amount of ageing civil steel infrastructure requests an enhanced assessment of this infrastructure in terms of determining its residual fatigue life in a more realistic way than this has been done in the past. Often the relevant materials data for cyclic loading of such an ageing infrastructure is not available and its retrieval turns out to be relatively cumbersome bearing the urgency in data availability and continuous cost pressure in mind. This article addresses different approaches and techniques on how materials data for cyclic loading can be obtained at a fraction of the effort compared to state‐of‐the‐art techniques, considering load increase tests, non‐destructive testing techniques and finally even a stepped bar specimen allowing a complete set of materials data (stress‐strain behaviour and stress‐ and strain‐life curve) to be obtained with a single specimen in the end only. Options for ’digitizing’ materials data evaluation are discussed and some prospect on application of those novel approaches and techniques in damage accumulation assessments on real steel infrastructure is provided.     

TNT基炸药储存寿命评估研究?

为解决有效评估炸药储存寿命的难题,提出一套基于炸药加速退化试验失重率阈值的储存寿命评估技术。采用基于伪失效寿命的加速寿命试验数据建模与处理方法,对某TNT基炸药加速退化试验数据,使用正态分布和威布尔分布模型,估计了两种模型参数,评定了其储存寿命。研究表明,该评估技术可行,结论可信。     

声发射技术在疲劳失效领域的研究进展

疲劳失效是一种具有突然性和灾难性的失效形式,因此对材料的疲劳失效进行监测显得尤为重要。与传统的疲劳裂纹检测方法相比声发射技术能够对材料的疲劳失效过程进行实时、在线监测,因此在疲劳失效监测领域得到了广泛的应用。对声发射技术进行了简要的介绍,总结了声发射技术在疲劳失效过程监测和疲劳寿命预测两方面的研究进展,指出了当前研究中存在的问题并对其下一步的发展进行了展望。     

我国软件与系统工程标准化研究综述

软件工程将工程化的思想贯穿到软件的分析、设计、实现和维护的生存周期全过程,涵盖完成一个软件产品所必备的思想、理论、方法、技术、工具和环境.软件工程标准化通过制定、贯彻并监督实施标准,规范软件工程过程和方法,提高软件产品质量和工作效率,对软件行业的发展起着举足轻重的作用.本文对软件工程及标准化情况进行综述,并对软件工程重点领域的发展和标准化趋势进行分析总结.首先,本文总结软件工程的发展历程,对软件工程发展各阶段的技术和标准化重点进行分析,然后通过对国际标准和我国标准进行对比,剖析出我国软件工程及软件工程标准化情况,最后归纳总结我国软件工程标准化现存的问题和下一步研究工作的重点.     

Discrimination between accelerated life models via Approximate Bayesian Computation

Accelerated life testing (ALT) is widely used in high-reliability product estimation to get relevant information about an item's performance and its failure mechanisms. To analyse the observed ALT data, reliability practitioners need to select a suitable accelerated life model based on the nature of the stress and the physics involved. A statistical model consists of (i) a lifetime distribution that represents the scatter in product life and (ii) a relationship between life and stress. In practice, several accelerated life models could be used for the same failure mode and the choice of the best model is far from trivial. For this reason, an efficient selection procedure to discriminate between a set of competing accelerated life models is of great importance for practitioners. In this paper, accelerated life model selection is approached by using the Approximate Bayesian Computation (ABC) method and a likelihood-based approach for comparison purposes. To demonstrate the efficiency of the ABC method in calibrating and selecting accelerated life model, an extensive Monte Carlo simulation study is carried out using different distances to measure the discrepancy between the empirical and simulated times of failure data. Then, the ABC algorithm is applied to real accelerated fatigue life data in order to select the most likely model among five plausible models. It has been demonstrated that the ABC method outperforms the likelihood-based approach in terms of reliability predictions mainly at lower percentiles particularly useful in reliability engineering and risk assessment applications. Moreover, it has shown that ABC could mitigate the effects of model misspecification through an appropriate choice of the distance function.     

原油价格与油田经济开发期

介绍了油田经济开发期的概念,给出了原油价格与经济开发期之间的定量关系,在不同的原油价格下计算了某油田经济开发期,说明原油价格直接影响油田的经济开发期。     

Virtual worlds as knowledge management platform – a practice‐perspective

Virtual worlds, as electronic environments where individuals can interact in a realistic manner in form of avatars, are increasingly used by gamers, consumers and employees. Therefore, they provide opportunities for reinventing business processes. Especially, effective knowledge management (KM) requires the use of appropriate information and communication technology (ICT) as well as social interaction. Emerging virtual worlds enable new ways to support knowledge and knowing processes because these virtual environments consider social aspects that are necessary for knowledge creating and knowledge sharing processes. Thus, collaboration in virtual worlds resembles real‐life activities. In this paper, we shed light on the use of Second Life (SL) as a KM platform in a real‐life setting. To explore the potential and current usage of virtual worlds for knowledge and knowing activities, we conducted a qualitative study at IBM. We interviewed IBM employees belonging to a special workgroup called ‘Web 2.0/virtual worlds’ in order to gain experience in generating and exchanging knowledge by virtually collaborating and interacting. Our results show that virtual worlds – if they are able to overcome problems like platform stability, user interface or security issues – bear the potential to serve as a KM platform. They facilitate global and simultaneous interaction, create a common context for collaboration, combine different tools for communication and enhance knowledge and knowing processes.     

基于NPDM的保障系统顶层数据模型研究

介绍了北约产品数据模型(NPDM)的三层体系结构和EXPRESS数据建模语言,着重分析了NPDM顶层数据模型与产品寿命周期的关系,模型中各模式记录的信息内容和模式之间的关系.依据NPDM思想建立了保障系统顶层数据模型,阐述了模型中各模式记录的信息内容,给出了人力与人员、保障设备和保障设施等保障要素的数据结构,为进一步建立保障系统数据模型的打下了基础.