基于效率函数求解单件车间调度问题算法的软件实现和实例分析

单件小批量生产形式下的单件车间（Job-shop）调度是生产计划中的一个重要问题。西方在文献[1]提出的求解Job-shop调度问题的初排算法及调解算法的基础上，做出了进一步的修改和完善，在调解算法中引入了交换与移动相结合的机制以提高调解效率；在软件实现中引入了“虚工序”的概念，并在“VBA ForProject2000中实现了该算法。经分析及实验验证，利用这种算法求解Job-shop调度问题可得到十分满意的结果。     

逆变系统中非线性负载谐波失真消除的DSP控制

对于非线性负载所引起的谐波失真，传统的逆变系统通常采用复杂的大规模无源元件滤波方案来滤除。本文介绍了一种采用DSP控制的逆变器和谐波调节系统的滤波方案，并分析了逆变系统中使用实时数字信号处理控制方法的优点。     

一种基于目标约束遗传算法的地层对比方法

针对油田开发钻井剖面地层对比的具体特点和实际问题应满足的约束条件，提出了一种基于目标约束遗传算法的地层对比方法。该方法既能较好地完成常规地层对比，也可对因断层或地层尖灭等地质现象造成的地层缺失、错位等复杂情况进行处理。该方法具有较好的鲁棒性，随机搜索能力强，对复杂情况下的地层对比具有较好的适应性。给出了具体的实现算法，对实际资料的处理结果证明了方法的有效性。     

笼型异步电动机状态监测与转子故障诊断方法对比分析

笼型异步电动机广泛应用到工农业生产领域,转子故障是其主要的故障形式.本文针对笼型异步电动机转子故障的几种诊断方法,分析了他们各自的优缺点,阐明了检测异步电动机转子故障的关键所在,并针对异步电动机转子故障诊断的复杂性提出了相应的对策.     

滑动轴承两种油膜边界条件的比较

本文对滑动轴承计算中两种常用的油膜边界条件进行了比较，一种是雷诺边界条件，另一种即质量守恒边界条件。对于前者，常采用负压力归零法进行计算，对于后者，大多采用Elrod算法。本文通过改变Elrod算法中的变量θ的定义，对Elrood算法进行改进，建立一新的通用方程，可自动确定动态边界，并在稳态工况下，将两种边界条件的计算结果与实验数据进行比较，发现根据质量守恒边界条件采用本文新改进的算法计算所得结果与实验数据十分吻合，同时，计算结果表明，空穴并不总是降低轴承的承载力，在稳态工况下，当空穴压力为较大的负压力时，轴承的承载能力反而有明显提高。     

露天采矿设备润滑状态监测与故障诊断

主要介绍了几种设备润滑状态监测方法，论述了如何对露天采矿设备进行润滑状态监测，并提出利用设备润滑状态监测结果进行露天采矿设备故障诊断。通过设备预防性维修，避免设备故障扩大，从而提高设备可用率，降低设备维修成本。     

Optimisation of maintenance strategy for rural road network using genetic algorithm

The objective of this paper is to develop an optimised maintenance strategy for the rural road network of Kerala state. This is accomplished with the development of a bi-objective deterministic optimisation model which simultaneously satisfies the objectives of both minimisation of total maintenance cost and maximisation of performance of the road network. The model is capable of planning the maintenance activities over a multi-year planning period. The performance of the road network is accounted using the composite index, namely Pavement Condition Index. The constraint-based genetic algorithm was used as the optimisation tool since it very well takes care of the combinatorial nature of the network-level pavement maintenance programming. The applicability of the model is illustrated using a case study for the rural road network of Kerala state in India. The effort made through this research work to develop a suitable Pavement Maintenance and Management System for rural road network can lead to the proper maintenance and upkeep of the rural roads, thereby triggering a positive impact on the Indian economy.     

COMPROMISE: AN EFFECTIVE APPROACH FOR CONDITION-BASED MAINTENANCE MANAGEMENT OF GAS TURBINES

A decision-based approach to condition-based maintenance management of rotating machinery is introduced and illustrated by formulating and solving a multiple objective maintenance management problem for a 15 MW industrial gas turbine. The compromise Decision Support Problem approach is used because it provides a convenient way of incorporating both information from condition monitoring and considerations of factors such as machine degradation, operating cost (fuel cost), production loss, maintenance cost, environmental protection, machine availability, etc. The focus in this paper is on explaining the approach rather than on the results per se.     

Fast solver for some computational imaging problems: A regularized weighted least-squares approach

In this paper we propose to solve a range of computational imaging problems under a unified perspective of a regularized weighted least-squares (RWLS) framework. These problems include data smoothing and completion, edge-preserving filtering, gradient-vector flow estimation, and image registration. Although originally very different, they are special cases of the RWLS model using different data weightings and regularization penalties. Numerically, we propose a preconditioned conjugate gradient scheme which is particularly efficient in solving RWLS problems. We provide a detailed analysis of the system conditioning justifying our choice of the preconditioner that improves the convergence. This numerical solver, which is simple, scalable and parallelizable, is found to outperform most of the existing schemes for these imaging problems in terms of convergence rate.     

MIMO Channel Capacity and Configuration Selection for Switched Parasitic Antennas

Multiple-input multiple-output (MIMO) systems offer significant enhancements in terms of their data rate and channel capacity compared to traditional systems. However, correlation degrades the system performance and imposes practical limits on the number of antennas that can be incorporated into portable wireless devices. The use of switched parasitic antennas (SPAs) is a possible solution, especially where it is difficult to obtain sufficient signal decorrelation by conventional means. The covariance matrix represents the correlation present in the propagation channel, and has significant impact on the MIMO channel capacity. The results of this work demonstrate a significant improvement in the MIMO channel capacity by using SPA with the knowledge of the covariance matrix for all pattern configurations. By employing the “water-pouring algorithm” to modify the covariance matrix, the channel capacity is significantly improved compared to traditional systems, which spread transmit power uniformly across all the antennas. A condition number is also proposed as a selection metric to select the optimal pattern configuration for MIMO-SPAs.