CMOS电路瞬态电流测试方法研究

集成电路设计与测试是当今计算机技术研究的主要问题之一。集成电路测试技术是生产高性能集成电路和提高集成电路成品率的关键。基于固定型故障模型的测试方法已不能满足高性能集成电路,尤其是对CMOS电路的测试要求。CMOS电路的瞬态电流(IDDT)测试方法自80年代提出以来,已被工业界采用,作为高可靠芯片的测试手段。     

应用于逻辑核的BIST关键技术研究

随着集成电路工艺进入深亚微米阶段后,电路复杂度的不断提高,特别是片上系统的不断发展,主要包括验证测试和制造测试的芯片测试,正在面临着巨大的挑战,传统的使用自动测试设备的测试方法越来越不能满足测试需要。各种用于提高芯片可测试性的可测性设计方法被提出,其中逻辑内建自测试方法已经被证明为大规模集成电路（VLS1）和SOC测试的一项有效的可测试性设计方法。文章首先对Logic BIST的基本原理结构进行介绍,然后对其在实践应用中的一些难点问题进行详细分析,最后给出针对一款高性能通用处理器实验的结果。     

集成电路的原理及可靠性分析

集成电路(Integrated Circuit,通常简称IC),是指将很多微电子器件集成在芯片上的一种高级微电子器件。本文通过分析集成电路失效模型,对集成电路可靠性进行了理论探讨,从而提高集成电路的质量。     

一种集成电路测试系统在线计量方法研究

论文介绍了一种通过对集成电路测试系统芯片测试过程中的电气参数进行测量的方式分析得到集成电路测试系统的指标准确度,从而实现对集成电路测试系统进行在线计量。该方法反映了集成电路测试系统测试过程中的实际工作状况,其计量结果具有更高的可信度,同时具有更好的计量效率。     

集成电路老炼中测试设备校准装置研究

为贯彻GJB 548B中方法1015的要求,集成电路老炼中测试(Testing During Burn In,TDBI)技术广泛应用于超大规模的FPGA、DSP、CPU及专用芯片等核心集成电路的动态老炼过程中,国内外多种型号的集成电路老炼中测试设备已投入使用,如何进行该类设备系统级整体计量、保证其量值的可溯源性是一项重要任务.论文主要从整体架构设计、信号适配设计、校准软件设计等方面介绍了集成电路老炼中测试设备校准装置的研建过程.     

基于SOPC技术的集成电路芯片自动测试系统

介绍一种基于SOPC（可编程片上系统）技术实现的集成电路芯片自动测试系统,采用支持NIOSⅡ软核的Cylone Ⅱ EP2C35器件为主要部件,并将测试结果通过LCD液晶显示器显示出来。将此系统用于测试74系列中、小规模集成电路芯片,达到了很高的精度,而且可以利用FPGA软、硬件的可编程性,灵活地实现对其它系列器件的测试。     

基于扫描链测试的HDL编码规范分析与研究

集成电路制造过程的缺陷会使部分芯片失效,因此需要通过高效的自动测试方法来对芯片的正确性进行检测.该文针对集成电路自动测试方法中的扫描链测试,提出了六条HDL编码规范,用于提高测试覆盖率从而提高测试效率.把这些编码规范应用到实例设计中,实验结果显示,遵循全部规范时测试覆盖率可达到100％,而不遵循其中的任一规范时测试覆盖率均有一定程度的减少.通过对各种情况下的故障分布进行分析表明,在前端设计时遵循这些HDL编码规范,能以最小的性能牺牲,获得较高的测试覆盖率.     

基于典型集成电路的自动测试演示验证研究

当前国产超大规模集成电路测试设备由于技术指标、工作可靠性、制造成本等诸多因素,在国内尚未得到大规模的市场应用;从集成电路的测试需求出发,给出了自研超大规模集成电路测试系统的总体架构组成,重点开展了基于典型集成电路的自动测试演示验证方法研究,并以国产某型超大规模静态存储器芯片作为演示验证的对象,利用自研测试系统完成了基于静态存储器芯片的自动测试演示验证试验;试验结果表明基于典型集成电路的自动测试演示验证方法和过程合理可行,能够为国产新研超大规模集成电路测试系统推广前的自动测试演示验证提供参考,同时可结合不同类型集成电路的测试需求深入应用到各类集成电路的测试过程。     

应用对称编码的测试数据压缩解压方法

随着超大规模集成电路制造技术的快速发展,单个芯片上已能够集成的晶体管数目越来越多.由于各种知识产权芯核集成到一个芯片上,这样给集成电路测试带来了巨大的挑战,测试数据压缩技术能够有效降低对昂贵的ATE性能要求.提出一种对称编码方法,能有效地提高测试数据压缩率,降低测试成本.传统的编码技术采用对0游程或1游程进行编码,但由...     

8031单片机在74系列集成电路测试仪中的应用

本文介绍了用8031单片机控制对74系列集成电路芯片的逻辑功能进行测试的原理,重点介绍了测试插座接口的设计方法及测试程序的编程技巧。     

Joint production and maintenance strategy for economic production quantity model with imperfect production processes

In this study, an economic production quantity (EPQ) model is generalized by considering maintenance and production programs for an imperfect process involving a deteriorating production system with increasing hazard rate. There are two types of preventive maintenance (PM), namely imperfect PM and perfect PM. The probability that perfect PM is performed depends on the number of imperfect maintenance operations performed since the last renewal cycle. Following a failure, the delayed repair performs some restorations and reduces production rate to restore the system into an operating state (in-control state), but leaves its lower production rate until perfect PM is performed. That is, the production run period not always starts in normal production rate. This study considers backorders, as well as loss of inventory due to the lower production rate. For the EPQ model, the optimum run time, which minimizes the total cost, is discussed. Various special cases are considered, including the maintenance learning effect. Finally, a numerical example is presented to illustrate the effects of PM ability, repair cost and production decreasing rate on total costs and production period.     

Economic production quantity model with a shifting production rate

Typical models for determining the economic production quantity (EPQ) assume perfect product quality and perfect production processes. Deteriorating processes may affect production systems in several ways. They may decrease the quality of the items produced, cause production stoppage and breakdowns and/or reduce the production rate due to production process inefficiency. The purpose of this paper is to present an EPQ model that incorporates the effect of shifts in production rate on lot sizing decisions due to speed losses. The cycle starts with a certain production rate and after a random time, the production rate shifts to a lower value. A mathematical model to determine the optimal production policy under these conditions is developed and analyzed. Numerical examples are presented for illustrative purposes.     

Economical production and transshipment policy for coordinating multiple production sites

In this article, we study the coordination mechanism dealing with a production–transshipment policy across the multiple regions supplying multiple products. It is assumed that each production site has its own dedicated demand region consuming multiple products. The main concern is how to determine both the production quantity and the lot-apportioning policy while minimising the relevant supply chain cost. This decision issue is formulated as a non-linear mathematical model to determine several relevant decision variables. We propose the solution procedure for deriving the production–transshipment policy minimising the overall supply chain cost.     

Integrated production planning and preventive maintenance in deteriorating production systems

This paper discusses the issue of integrating production planning and preventive maintenance in manufacturing production systems. In particular, it tackles the problem of integrating production and preventive maintenance in a system composed of parallel failure-prone production lines. It is assumed that when a production line fails, a minimal repair is carried out to restore it to an ‘as-bad-as-old’ status. Preventive maintenance is carried out, periodically at the discretion of the decision maker, to restore the production line to an ‘as-good-as-new’ status. It is also assumed that any maintenance action, performed on a production line in a given period, reduces the available production capacity on the line during that period. The resulting integrated production and maintenance planning problem is modeled as a nonlinear mixed-integer program when each production line implements a cyclic preventive maintenance policy. When noncyclical preventive maintenance policies are allowed, the problem is modeled as a linear mixed-integer program. A Lagrangian-based heuristic procedure for the solution of the first planning model is proposed and discussed. Computational experiments are carried out to analyze the performance of the method for different failure rate distributions, and the obtained results are discussed in detail.     

An algorithm for production planning in a flexible production system

In this paper, we consider the problem of determining the production rate, production batch size, and production sequence when production rate, setup cost, and unit processing cost are sequence-dependent. Using a standard lot sizing model with backorder, a tabu search algorithm for solving this problem is proposed. The algorithm is tested on some random test problems and its performance is compared with random sequencing. Computational results show that the proposed algorithm is very efficient.     

Multiscale production routing in multicommodity supply chains with complex production facilities

In this work, we introduce the multiscale production routing problem (MPRP), which considers the coordination of production, inventory, distribution, and routing decisions in multicommodity supply chains with complex continuous production facilities. We propose an MILP model involving two different time grids. While a detailed mode-based production scheduling model captures all critical operational constraints on the fine time grid, vehicle routing is considered in each time period of the coarse time grid. In order to solve large instances of the MPRP, we propose an iterative MILP-based heuristic approach that solves the MILP model with a restricted set of candidate routes at each iteration and dynamically updates the set of candidate routes for the next iteration. The results of an extensive computational study show that the proposed algorithm finds high-quality solutions in reasonable computation times, and in large instances, it significantly outperforms a standard two-phase heuristic approach and a solution strategy involving a one-time heuristic pre-generation of candidate routes. Similar results are achieved in an industrial case study, which considers a real-world industrial gas supply chain.