Workload Distribution in Fault Simulation

Simulation at the gate level is computationally very expensive.Parallel processing is one technique to reduce simulation time.Possessing knowledge of the distribution of computational activity insimulation can aid in parallelizing it efficiently. We present a newcharacterization of the distribution of the computational workload infault simulation. An empirical analysis shows that the workloaddistribution is circuit specific, and is largely independent of thevector set being simulated. An inexpensive method to predict theworkload distribution is also discussed.     

锦45块“八五”期间新增可采储量技术途径研究

方法 利用注采特征曲线，对锦４５块“八五”期间新增可采储量进行了计算研究，目的 研究蒸汽吞吐阶段增加可采储量的途径，为同类油藏的合理开发提供依据，结果 蒸汽吞吐阶段增加可采储量的三项技术途径；一是加大滚动勘探开发力度，不断发现和投入新储量；二是开展油藏工程研究，搞清油水分布，合理部署调整井，三是综合治理，增加可采储量。结论 “八五”期间，利用上述技术途径，改善了锦４５块开发效果，新增可采储量２７１     

电控汽车发动机故障模拟--诊断台的制作及使用简介

介绍电控汽车发动机(以丰田4VZ-TE电控发动机为例)故障模拟——诊断控制台的制作原理、过程、使用及制作意义。     

电路板故障诊断中神经网络信息融合技术的应用

将信息融合技术应用到导弹电子设备的电路板故障诊断之中．提出了一种基于红外热成像实验的温度故障隶属度函数构造形式以及改进的BP神经网络算法。进行了BP神经网络信息融合故障诊断的实验研究．从结果看信息融合能较好地解决电路板元件故障诊断的不确定性问题。     

直流励磁机电刷打火的常见原因及对策

主要介绍了中铝公司山西分公司自备热电厂6台发电机组的励磁机电刷打火的常见原因的分析和处理方法。     

铸件浸渗系统脱液机故障树的建立和分析

利用FTA方法对脱液机的各种故障进行系统分析,建立了脱液机的故障树,并对故障树进行定性分析.找出了影响脱液机可靠性的主要因素,提出了提高脱液机可靠性的相应措施.     

中频变频器UFV故障探析

本文对中频变频器的UFV故障进行了系统试验和原因分析，并对UFV故障的关键因素进行了详细探析。     

模拟电路的模块级故障诊断

本文以多端口元件或子网络为基本单元，提出了一种模块级故障诊断方案，这种方案的故障模型更符合电路的实际情况，因而具有更广泛的实际意义，文中首先推导了模块故障诊断议程，并对模块故障可测性问题进行了一般性讨论。然后，给出了模块故障可测的几个拓扑条件，并通过定义广义独立通路使这些拓扑条件适用于一般的非互易网络。     

Measurement selection for parametric IC fault diagnosis

This article presents experimental results which show feedforward neural networks are well-suited for analog IC fault diagnosis. Boundary band data (BBD) measurement selection is used to reduce the computational overhead of the FFN training phase. We compare the diagnostic accuracy between traditional statistical classifiers and feedforward neural networks trained with various measurement selection criteria. The feedforward networks consistently perform as well as or better than the other classifiers in term of accuracy. Training using BBD consistently reduces the FFN training efforts without degrading the performance. Experimental results suggest that feedforward networks provide a cost efficient method for IC fault diagnosis in a large scale production testing environment.This work is supported by NSF-IUC CDADIC, Project 90-1.