汽轮机凝汽器技术状态的故障诊断

介绍了对电站发动机组凝汽器进行状态监测和故障诊断的技术诊断自动化系统的研究和实现，实践证明，开发的系统对改善凝汽器性能、提高电站整体性能具有重要意义。     

层次分析法在电信企业管理诊断中的应用

本文阐述了电信企业诊断的特点及综合评价指标体系的确立 ,给出了AHP法在电信企业管理诊断中的具体应用 ,从定量分析的角度 ,分析了电信企业在经营管理中存在的问题和不足。     

基于规则的MCD磨粒信息诊断专家系统

研究了一种用于发动机磨损状态监测与故障诊断的MCD磨粒信息诊断专家系统 (ES)。首先讨论了诊断知识的获取与规则表示方法 ,接着根据面向对象模板化设计思想 ,研究了一种知识库、推理机和人机界面的一体化构造策略 ,并在此基础上引入深度优先搜索、反向引导正向控制的启发性推理机制     

转子动不平衡载荷的在线识别

本文提出用复模态影响系数来解决转了大衡的在线以别和诊断问题，讨论了影响系数矩阵的力学意义．试验中可不加试重求出影响系数，并编制了相应的计算程序．     

大学英语阅读障碍诊断及治疗之探讨

由于阅读过程内在的复杂性，阅读是较难掌握的一项语言技能。本文从阅读障碍的诊断和治疗两方面对中国大学英语阅读教学进行探讨，抛砖引玉，以期有更多的同仁加入这一话题的讨论。     

我国现行环境资源法律制度的诊断与创新

从可持续发展的经济理论出发,按可持续发展的要求,对我国现行环境资源法律制度进行评价与诊断,指出当前环境资源法律制度中存在的不足,提出可持续发展法律制度在市场经济条件下进行创新的选择和对策,以完善我国的环境资源法制建设。     

国内外阅读障碍研究对比分析与国内研究前景展望

阅读障碍亦称诵读障碍或拼写障碍,是一种与脑部相关的学习障碍。阅读障碍研究集心理语言学、心理学、认知科学、医学等诸多学科于一体,是近年来国内外学术界的研究热点之一。梳理国内外阅读障碍的研究团队发展状况,分析国内外阅读障碍研究在诊断、表征、成因以及干预四个方面的异同,探讨国内阅读障碍研究的发展前景,对促进本领域的深入研究大有裨益。     

Sensory Work of Diagnosis: A Crisis of Legitimacy

Sensory judgments have always been a part of medical practice, as sensory studies scholars have emphasized. However, in current regulatory, management and technological contexts, there is a push toward rational decision-making procedures and test-based evidence over clinical diagnosis. Sociological scholarship highlights that in focusing on explicit medical knowledge and disembodied data we take for granted aspects of healthcare work, including the ways in which health and illness is sensed. Research in sociologies of diagnosis and social studies of science and technology has captured that while the senses continue to play a role in medical work, the status and practice of this sensory work is not straightforward as evidenced by dual use of the senses and tests and the delegation of sensory work. Based on semi-structured interviews with expert doctors in diverse specialties, this article examines the sensory work of medical decision-making, with attention to its legitimacy. It examines applications of the senses from auscultation to ongoing sensing of patients’ bodies unmediated and via technological outputs. While critical to clinical judgments, there is discomfort with this sensory work in light of medico-legal pressures. I argue that the sensory work of diagnosis is vital, to the extent that gaps in sensory information imply gaps in understanding.     

Bayesian Classifiers Applied to the Tennessee Eastman Process

Fault diagnosis includes the main task of classification. Bayesian networks (BNs) present several advantages in the classification task, and previous works have suggested their use as classifiers. Because a classifier is often only one part of a larger decision process, this article proposes, for industrial process diagnosis, the use of a Bayesian method called dynamic Markov blanket classifier that has as its main goal the induction of accurate Bayesian classifiers having dependable probability estimates and revealing actual relationships among the most relevant variables. In addition, a new method, named variable ordering multiple offspring sampling capable of inducing a BN to be used as a classifier, is presented. The performance of these methods is assessed on the data of a benchmark problem known as the Tennessee Eastman process. The obtained results are compared with naive Bayes and tree augmented network classifiers, and confirm that both proposed algorithms can provide good classification accuracies as well as knowledge about relevant variables.     

DNA芯片技术

DNA芯片可用于核酸序列的测定及基因突变检测等,这里对DNA芯片的制作、作用原理、性能及用途等进行了综述。