基于独立成分分析的含噪声时间序列预测

提出一种基于独立成分分析(ICA)的最小二乘支持向量机(LS-SVM),用于时间序列的多步超前独立预测.用ICA估计预测变量中的独立成分(IC),用不含噪声的IC重新构建时间序列.利用 -最近邻法( -NN)减小训练集的规模,提出一种新的距离函数以降低LS-SVM训练过程的计算复杂度,并用约束条件对预测值进行后处理.使用基于ICA的LS-SVM、普通LS-SVM与反向传播神经网络(BP-ANN),对多个时间序列进行对比预测实验.实验结果表明,基于ICA的LS-SVM的预测性能优于普通LS-SVM和BP-ANN.     

Delay-dependent reliable H ∞ filtering for sector-bounded nonlinear continuous-time systems with time-varying state delays and sensor failures

In this article, the reliable H _∞ filtering problem against sensor failures is investigated for a class of continuous-time systems with simultaneous sector-bounded nonlinearities and varying time delays. The focus of this article is on designing a reliable filter such that the filtering error system is asymptotically stable and meets the prescribed H _∞ norm constraint in the normal case as well as in the sensor failure case simultaneously. Linear matrix inequality conditions, which depend not only on the upper and lower bounds of delay but also on the upper bound of delay derivative, are obtained for the existence of admissible filters and, based on these, the filter design is cast into a convex optimisation problem. What is worth mentioning is that the information about the upper bound of the delay derivative is taken into consideration even if this upper bound is not smaller than 1. A numerical example is presented to illustrate the effectiveness and advantage of the developed filter design method.     

Classification of weld flaws with imbalanced class data

This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification problem. The one-against-all scheme is adopted to carry out multi-class classification and three algorithms including minimum distance, nearest neighbors, and fuzzy nearest neighbors are employed as the classifiers. The effectiveness of 22 data preprocessing methods for dealing with imbalanced data is evaluated in terms of eight evaluation criteria to determine whether any method would emerge to dominate the others. The test results indicate that: (1) nearest neighbor classifiers outperform the minimum distance classifier; (2) some data preprocessing methods do not improve any criterion and they vary from one classifier to another; (3) the combination of using the AHC_KM data preprocessing method with the 1-NN classifier is the best because they together produce the best performance in six of eight evaluation criteria; and (4) the most difficult weld flaw type to recognize is crack.     

CORDIC Processor for Variable-Precision Interval Arithmetic

In this paper we present a specific CORDIC processor for variable-precision coordinates. This system allows us to specify the precision to perform the CORDIC operation, and control the accuracy of the result, in such a way that re-computation of inaccurate results can be carried out with higher precision. It permits a reliable and accurate evaluation of a wide range of elementary functions. The specific architecture designed greatly improves the computational time of previous solutions based on classic polynomial approximation. For controlling error in numerical computation (where intervals are normally narrow) the proposed design performs an interval operation in a time close to that of a point operation.     

Time-dependent vibration frequency reliability analysis of blade vibration of compressor wheel of turbocharger for vehicle application

Blade vibration failure is one of the main failure modes of compressor wheel of turbocharger for vehicle application. The existing models for evaluating the reliability of blade vibration of compressor wheel are static, and can not reflect the relationship between the reliability of compressor wheel with blade vibration failure mode and the life parameter. For the blade vibration failure mode of compressor wheel of turbocharger, the reliability evaluation method is studied. Taking a compressor wheel of turbocharger for vehicle application as an example, the blade vibration characteristics and how they change with the operating parameters of turbocharger are analyzed. The failure criterion for blade vibration mode of compressor wheel is built with the Campbell diagram, and taking the effect of the dispersity of blade natural vibration frequency and randomness of turbocharger operating speed into account, time-dependent reliability models of compressor wheel with blade vibration failure mode are derived, which embody the parameters of blade natural vibration frequency, turbocharger operating speed, the blade number of compressor wheel, life index and minimum number of resonance, etc. Finally, the rule governing the reliability and failure rate of compressor wheel and the method for determining the reliable life of compressor with blade vibration is presented. A method is proposed to evaluate the reliability of compressor wheel with blade vibration failure mode time-dependently.     

高压高转速服役特征下唇形油封失效机制

坦克车综合传动系统中油封经常处于高压、高转速的工况,出现短时失效泄漏且在工况条件降低后密封性能恢复。针对这一问题,以唇形油封的泵汲理论作为其失效评判标准,首先,通过分析不同介质压力下油封的变形特征和接触特性,发现油封受压后腰部向轴侧塌陷、唇部翘曲,导致其接触宽度增加、最大接触应力减小,不利于产生或失去泵汲效应;其次,基于高速下油封摩擦升温现象,指出转速增加使油封橡胶材料的弹性模量下降,导致油封的抵抗变形能力减弱,其受压时腰部变形量增大;最后,对高压高转速服役特征下的油封进行分析,发现转速作用下油封升温导致其腰部抵抗变形能力下降,同时施加介质压力后加剧其腰部的塌陷程度,降低其工作可靠性,进一步得出了油封的可靠介质压力与转速之间的匹配关系。研究成果可为设计优化耐高压高速油封及油封选型提供参考和理论支持。     

数据驱动的风电机组偏航参数适应性优化

为了增强风电机组偏航系统自适应水平,提升风能利用率,提出一种基于K近邻聚类（KNN）算法风电机组偏航控制参数优化方法。为准确描述风向变化,建立改进Weibull概率分布建立风向评估模型,即以风向波动的幅值（A）和波动持续时间（T）作为风况的数据标签来描述风向。对比风电机组不同偏航参数下的运行数据确定聚类中心（已知风况下的最佳偏航参数）,通过基于KNN算法的风电机组偏航控制参数优化模型,得到不同风况下风电机组最佳的偏航参数。通过对风电机组运行数据进行算例分析表明,该方法高风速时可提升风电机组发电效率,并在低风速时减少偏航启动次数。     

Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms

According to a certain misconception sometimes met in the literature: for the nearest-neighbors algorithms there is no fixed hypothesis class of limited Vapnik-Chervonenkis dimension.In the paper a simple reformulation (not a modification) of the nearest-neighbors algorithm is shown where instead of a natural number k, a percentage α ∈ (0, 1) of nearest neighbors is used. Owing to this reformulation one can construct sets of approximating functions, which we prove to have finite VC dimension. In a special (but practical) case this dimension is equal to ⌊2/α⌋. It is also then possible to form a sequence of sets of functions with increasing VC dimension, and to perform complexity selection via cross-validation or similarly to the structural risk minimization framework. Results of such experiments are also presented.     

单片微型机测控系统的可靠性设计

单片微型机控制系统的可靠性是由多种因素决定的，其中系统硬件的抗干扰性是决定系统可靠性的重要方面。为提高单片机系统的抗干扰能力．使产品能适应恶劣的工作环境，满足可靠性方面更高标准的要求，设计用户系统时应尽量采用可靠性措施。但是，由于实际控制系统千差万剐，干扰源也不尽相同。因此，设计用户系统时应分剐考虑。通过分析单片微型机控制系统在实际应用中存在的3条主要干扰渠道：空间干扰、过程通道干扰和供电系统干扰，然后针对相应情况给出了一些解决措施。重点讨论了软件和硬件相结合的解决方案和简单看门狗电路的设计。     

成品油火车自动装车系统设计

基于目前火车大鹤管装车技术，阐述了最新的全自动、全密封的大鹤管装车系统设计，并经生产实践证明该系统具有可靠性高、稳定性高以及装车精度高等特性，对于其他火车大鹤管装车系统具有借鉴和推广作用。