箕状凹陷坡折带成因及对同生断层和沉积的控制,以南襄盆地南阳凹陷为例

坡折带是沉积地貌突变的古构造枢纽带。南襄盆地南阳凹陷南部控凹铲状正断层在非平面上滑动造成凹陷北部盖层缓坡弯折,构成盆内沉积区域的分界线,是同生断层集中发育和沉积相发生突变的地带。特定的坡折带类型揭示了同沉积断裂的活动和分布特征,制约着沉积物的分散过程和砂体堆积。在不同的盆地演化阶段,同生断层与沉积相带控制着不同圈闭类型的形成。      

应用地应力模拟技术研究断块区剩余油分布

应力场数值模拟不仅能够重塑出不同阶段地应力场，而且还可以定量一半定量地预测破裂的发生、裂缝的方向和密度，进一步探讨时间和空间上油气运移的规律，为油田勘探、开发提供必要的依据。本文以大庆萨北开发区北二西断层区为研究对象，通过应力场数值模拟研究了流体运移势场与剩余油分布的关系、流体运移与构造应力的关系、裂缝形成与剩余油分布的关系，确定了剩余油分布的有利区域，为油田注采系统的设计、部署和油田开发及措施调整提供了依据。     

基于主元分析的多变量统计过程的故障辨识技术

为了更好的进行故障检测与诊断，介绍了主元分析理论，给出了基于主元分析的过程故障辨识机理及策略。仿真实例表明，利用此方法建立的故障诊断模型，能够在不依赖过程机理的前提下高效抽取原始数据空间的主要变化信息，对过程的非正常变化做出反应，同时还能较正确地找出发生故障的原因以及相应环节。     

基于B点磁探针膛内电枢电弧长度与速度分布测量的计算机控制系统的研究

基于B点磁探针的测量原理，建立了电磁轨道炮膛内三维等离子体电枢电弧长度和电弧运动速度测量的数学模型，通过对该模型的分析给出了用于测量膛内电枢电弧长度和运动速度分布的相应推论。开发了用于测量膛内等离子体电枢电弧长度和速度的多通道计算机控制诊断系统，并进行了相应的试验研究。     

CMD－1压缩机组在线状态监测与故障诊断系统

浙江大学本文介绍了实现在线监测的多处理机主从系统以ＳＴＤ总线为基础的热旁待双机冗余高速数据采集部分的结构形式。对系统结构合理性、功能的实用性、运行的可靠性作了论述，并提供了该系统在生产现场实际运行中判断与分析机组故障实例的数据与图谱，该系统可以满足大中型企业旋转机械在线状态监测的要求，实践证明系统的设计和研制是成功的。     

Integrating integer programming and probabilistic deduction graphs for probabilistic reasoning

Optimal solutions of several variants of the probabilistic reasoning problem were found by a new technique that integrates integer programming and probabilistic deduction graphs (PDG). PDGs are extended from deduction graphs of the and-type via normal deduction graphs. The foregoing variants to be solved can involve multiple hypotheses and multiple evidences where the former is given and the latter is unknown and being found or vice versa. The relationship among these hypotheses and evidences with possible intermediaries is represented by a causal graph. The proposed method can handle a large causal graph of any type and find an optimal solution by invoking a linear integer programming package. In addition, formulating the reasoning problem to fit integer programming takes a polynomial time. H.-L. Li was visiting the Department of Computer Sciences, University of North Texas in 1988–1989. He is with the Institute of Information Management, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.     

东营凹陷滚动勘探开发技术研究与应用

东营凹陷已进入勘探开发成熟期 ,滚动勘探开发是增储稳产的主要手段 ,精细油藏描述是其关键。总结滚动勘探开发的 4种方式 (老区扩边、发现新块、发现新层系和新区滚动勘探开发 ) ,对断块复杂程度提出按每平方千米内所有断层的累加长度划分的新方法 ,从构造描述、储集层描述和油藏描述方面介绍了滚动勘探开发的技术方法。以永 8断块为例 ,在层位标定、反射特征分析、构造描述流程、地震地质分析等方面进行深入分析 ,归纳精细油藏描述的具体方法 ,强调了三维地震数据体的相干分析、属性分析等技术的重要作用。应用这一滚动勘探开发技术 ,使东营凹陷每年新增滚动储量近2 0 0 0× 10 4 t。图 3参 10     

基于多信号流图的飞控系统实时故障诊断

针对飞控系统构造复杂、解析建模困难的特点，给出一种基于多信号流图模型进行实时故障诊断的方法。该方法首先建立系统的多信号流图模型，然后根据模型得出相关矩阵，在相关矩阵和各实时测试结果基础上按照实时故障诊断基本算法进行诊断推理，判定系统各模块所处的状态。对某型飞机飞控系统的建模以及模拟诊断结果表明，该方法能隔离多故障，同时降低虚警率，是一种十分有效的实时故障诊断方法。     

Application of the blind source separation method to feature extraction of machine sound signals

As the result of vibration emission in air, a machine sound signal carries important information about the working condition of machinery. But in practice, the sound signal is typically received with a very low signal-to-noise ratio. To obtain features of the original sound signal, uncorrelated sound signals must be removed and the wavelet coefficients related to fault condition must be retrieved. In this paper, the blind source separation technique is used to recover the wavelet coefficients of a monitored source from complex observed signals. Since in the proposed blind source separation (BSS) algorithms it is generally assumed that the number of sources is known, the Gerschgorin disk estimator method is introduced to determine the number of sound sources before applying the BSS method. This method can estimate the number of sound sources under non-Gaussian and non-white noise conditions. Then, the partial singular value analysis method is used to select these significant observations for BSS analysis. This method ensures that signals are separated with the smallest distortion. Afterwards, the time-frequency separation algorithm, converted to a suitable BSS algorithm for the separation of a non-stationary signal, is introduced. The transfer channel between observations and sources and the wavelet coefficients of the source signals can be blindly identified via this algorithm. The reconstructed wavelet coefficients can be used for diagnosis. Finally, the separation results obtained from the observed signals recorded in a semi-anechoic chamber demonstrate the effectiveness of the presented methods .