煤矿瓦斯监测多传感器信息融合方法研究

针对传统的传感器监测矿井环境存在评判可靠性低、数据单一的缺点,提出了一种基于多参数、两级信息融合的安全监测方法.采用多传感器对瓦斯、温度、风速等信号进行采样,并根据矿井下的复杂结构采用分批估计和灰色关联分析的两级融合方式进行信息融合处理,实现对矿井安全环境监测参数的优化和整合,提高矿井监测系统的可靠性.     

基于BP神经网络岩体质量评价方法的相关性探讨

在国内外岩体质量评价分级研究进展的基础上,分析了目前主要评价方法,尤其是RQD（岩石质量指标）值分类法所存在的不足之处。总结了岩体结构、岩体质量及其与岩体质量分级的关系,讨论了主要岩体质量评价分级方法的基础及相关性。     

纳米抛光碳化硅压力对相变影响的分子动力学模拟

为了研究纳米抛光碳化硅时压力变化对表面的影响规律,建立了金刚石磨粒纳米抛光碳化硅的分子动力学模型,数值模拟了纳米尺度下的碳化硅抛光过程,具体分析了抛光压力线性增大过程中的配位数为1至6的原子数量的变化规律,揭示了线性改变抛光压力对被加工表面相变的影响规律,仿真结果表明:压力是诱导碳化硅相变的主要因素,当抛光压力增大时,...     

Potential step study of electrooxidation of methanol in 1-butyl-3-methylimidazolium tetrafluoroborate

A potential step method was used to characterize the electrooxidation of methanol on a chemically modified electrode in an ionic liquid solvent. Two major findings were reported from this study. Firstly, the oxidation was dominant 2.2 s after the potential step. Before that, the double layer charging and adsorption were dominant. Therefore, there should be a waiting time of a few seconds if a methanol sensor is developed with a potential step method. Secondly, the oxidation of methanol on the electrode was diffusion controlled. The concentration of methanol affected the diffusion. The diffusion constant D₀ was 8.37 × 10⁻¹⁷ m²/s when the concentration was lower than 0.5 M and was 2.66 × 10⁻¹³ m²/s when the concentration was higher than 1.0 M. This suggests that the methanol concentration should be kept higher than a threshold in an ionic liquid based fuel cell.     

调制域分析技术中一种新颖的提高测量精度方法

本文提出了一种新颖的调制域分析中提高测量精度的方法,即时标移相法,并且进行了改进。时标移相法通过对时标信号进行等相位移相,然后对移相后的各时标分别计数,使等效时标频率为实际时标频率移相次数的倍数,因此测时分辨率也提高到移相次数的倍数,从而提高测量精度。该方法与传统的模拟内插、数字游标及延迟内插法比较,电路简单,系统频率低,对电路设计和元器件的要求低,在工程上容易实现,并且调试测试方便,但又能达到同样的测量精度。本方法在某型调制域分析项目中进行了验证,提高测量精度的结果符合预期,在工程实现上切实可行。     

An approach for automated fault diagnosis based on a fuzzy decision tree and boundary analysis of a reconstructed phase space

Although reconstructed phase space is one of the most powerful methods for analyzing a time series, it can fail in fault diagnosis of an induction motor when the appropriate pre-processing is not performed. Therefore, boundary analysis based a new feature extraction method in phase space is proposed for diagnosis of induction motor faults. The proposed approach requires the measurement of one phase current signal to construct the phase space representation. Each phase space is converted into an image, and the boundary of each image is extracted by a boundary detection algorithm. A fuzzy decision tree has been designed to detect broken rotor bars and broken connector faults. The results indicate that the proposed approach has a higher recognition rate than other methods on the same dataset.     

Determination of all feasible robust PID controllers for open-loop unstable plus time delay processes with gain margin and phase margin specifications

This paper proposes a novel alternative method to graphically compute all feasible gain and phase margin specifications-oriented robust PID controllers for open-loop unstable plus time delay (OLUPTD) processes. This method is applicable to general OLUPTD processes without constraint on system order. To retain robustness for OLUPTD processes subject to positive or negative gain variations, the downward gain margin (GM_down), upward gain margin (GM_up), and phase margin (PM) are considered. A virtual gain-phase margin tester compensator is incorporated to guarantee the concerned system satisfies certain robust safety margins. In addition, the stability equation method and the parameter plane method are exploited to portray the stability boundary and the constant gain margin (GM) boundary as well as the constant PM boundary. The overlapping region of these boundaries is graphically determined and denotes the GM and PM specifications-oriented region (GPMSOR). Alternatively, the GPMSOR characterizes all feasible robust PID controllers which achieve the pre-specified safety margins. In particular, to achieve optimal gain tuning, the controller gains are searched within the GPMSOR to minimize the integral of the absolute error (IAE) or the integral of the squared error (ISE) performance criterion. Thus, an optimal PID controller gain set is successfully found within the GPMSOR and guarantees the OLUPTD processes with a pre-specified GM and PM as well as a minimum IAE or ISE. Consequently, both robustness and performance can be simultaneously assured. Further, the design procedures are summarized as an algorithm to help rapidly locate the GPMSOR and search an optimal PID gain set. Finally, three highly cited examples are provided to illustrate the design process and to demonstrate the effectiveness of the proposed method.     

消除温度对倒装键合对准精度影响的方法

为消除温度在热超声倒装键合过程中芯片与基板对准精度的影响,必须将因键合加热而引起的图像抖动量控制在亚像素范围内.设计了一套实验方案,通过实验对比,发现在未启用吹气装置时图像间的抖动剧烈,明显受温度影响,不能满足对准精度要求.采用二元二次曲面拟合亚像素法计算了启用吹气装置后图像间的平移,发现图像间整像素级的抖动明显消除,亚像素级的抖动受温度影响小,在键合温度下最大抖动量不超过0.3像素,能满足对准精度要求.该方法为热超声倒装工艺提出了有价值的参考.     

基于伪随机序列的聚合物光纤微弱光信号检测

提出了一种利用FPGA发出的伪随机序列检测微弱光信号的方法。用伪随机序列调制LED或LD光源,注入测量光纤,输出光信号经过光电转换后与伪随机序列的调制信号做相关检测。由于伪随机序列具有与白噪声相近的相关特性,测量过程中的干扰、噪声对相关峰值影响很小。因此,可以检测到微弱的输出光信号,提高了测量精度。测量系统由LabVIEW虚拟仪器实现。