基于气象因素的集中供热系统热负荷预测研究

为了解决直升机旋翼伺服作动器维修保障过程中训练资源有限,拆装难度高,故障率较高且难以确定故障点等难题,在直升机虚拟维修训练系统(VMTS, Virtual Maintenance Training System)的基础上,提出了应用虚拟仪器检测,确定故障点的直升机故障诊断可视化设计方法。分析了故障诊断过程中仪器、工具、环境等对故障诊断的影响,实现了动态的建立仿真模型和数据处理。通过虚拟仪器和推理机的功能配合,解决了直升机维护中复杂多变的故障诊断难题,形成一个逻辑推理能力强的故障诊断系统。最后以直升机旋翼伺服作动器故障诊断为例,验证该方法的可行性。     

CH-overtone regions as diagnostic markers for near-infrared spectroscopic diagnosis of primary cancers in human pancreas and colorectal tissue

We have investigated the application of near-infrared spectroscopy for detection of human primary pancreatic and colorectal cancers. Spectra from cancerous and normal tissue were collected from a total of 37 surgically resected pancreatic and colorectal patient tissue specimens using a fibre-optic probe. Major spectral differences were observed in the CH-stretching first (6,000–5,400 cm⁻¹) and second overtone (9,000–7,900 cm⁻¹) regions. By use of artificial neural networks, linear discriminant analysis, and cluster analysis as pattern-recognition methods the spectra were classified into cancerous and normal tissue groups with accuracy up to 89%. We also explored differences between the spectra obtained from colorectal and pancreatic tissue. Spectral data from cancerous and normal tissue were classified organ-specifically into four groups with accuracy between 80 and 83%. Our results indicate that CH-overtone regions, besides serving as diagnostic markers for NIR spectroscopic diagnosis of primary human pancreas and colorectal cancers, are also useful for elucidating differences between the spectra obtained from colorectal and pancreatic cancerous tissue.     

新型成像技术的实验系统研究

光学相干层析成像是一种新型成像技术。超辐射发光二极管和超短脉冲飞秒激光是能满足成像系统要求的理想光源。在开展光学相干层析相关技术研究的基础上 ,建立了国内第一台上述两种光源的成像实验研究装置 ,对系统的横向、纵向分辨率等基本性能进行了测定 ;并对多种实际样品进行了层析成像。     

渡越辐射及其在北京自由电子激光置束测中的应用

 在北京自由电子激光器装置的性能改进中,采用了基于渡越辐射的电子束诊断方法。描述了渡越辐射应用于电子束参数测量的基本理论,介绍了BFEL中利用渡越辐射进行的实验方案,并报导了初步的结果。     

Investigation of lubricant induced pre-ignition and knocking combustion in an optical spark ignition engine

An experimental study was performed to investigate lubricant oil induced pre-ignition and knocking combustion process in a single cylinder spark ignition (SI) engine with full bore overhead optical access. Lubricant oil was deliberately injected to the exhaust area through a specially modified direct injector to trigger the stochastic pre-ignition in a premixed air and fuel mixture. Simultaneous heat release analysis and high speed combustion imaging were used to study the pre-ignition and combustion processes. Outlier detection based on robust statistical methods was validated as an effective and efficient approach to identify sporadic pre-ignition. When pre-ignition occurred, the pre-ignited flame-front exhibited much faster propagating speed than that of the normal spark-ignited flame-front in the first stage of flame development. In several cycles, pre-ignition was followed by the pre-ignited propagating flame-front and then a separate spark-ignited flame-front before they subsequently merged together. In a few other cycles, pre-ignition led to heavy knocking combustion caused either by the auto-ignition close to the flame-front or near the cylinder wall, or both. The ultimate knock intensity of such cycles was determined by the timing, size, and location of end-gas auto-ignition of the unburned gas. Furthermore, optical detection of the oil droplet entrained combustion in the cycle subsequent to the knocking combustion cycle implied that high frequency oscillation pressure waves ejected lubricant from the piston-ring crevice.     

Extrapolation for Aeroengine Gas Path Faults with SVM Bases on Genetic Algorithm

Mining aeroengine operational data and developing fault diagnosis models for aeroengines are to avoid running aeroengines under undesired conditions. Because of the complexity of working environment and faults of aeroengines, it is unavoidable that the monitored parameters vary widely and possess larger noise levels. This paper reports the extrapolation of a diagnosis model for 20 gas path faults of a double-spool turbofan civil aeroengine. By applying support vector machine (SVM) algorithm together with genetic algorithm (GA), the fault diagnosis model is obtained from the training set that was based on the deviations of the monitored parameters superimposed with the noise level of 10%. The SVM model (C = 24.7034; γ = 179.835) was extrapolated for the samples whose noise levels were larger than 10%. The accuracies of extrapolation for samples with the noise levels of 20% and 30% are 97% and 94%, respectively. Compared with the models reported on the same faults, the extrapolation results of the GASVM model are accurate.     

基于红外光谱的苹果叶病害的快速诊断

基于傅里叶变换红外光谱技术,利用光谱检索的方法对苹果叶病害进行病害类型的鉴别研究。测试了正常苹果叶片和4种病害叶片共75份样本的红外光谱,光谱显示,各类样品的红外光谱非常相似,主要由纤维素、木质素、蛋白质和脂类的吸收带组成。利用omnic8.5软件依次建立了由每类样品的平均红外光谱、一阶导数光谱和二阶导数光谱组成的光谱库Lib1、Lib2、Lib3。各样品红外光谱分别与光谱库Lib1进行专家检索和绝对微分差算法检索,专家检索的正确率为80%,绝对微分差检索的正确率为82.7%。各样品红外光谱的一阶导数光谱和二阶导数光谱分别与光谱库Lib2、Lib3在全谱范围进行绝对微分差检索,基于一阶导数光谱的检索正确率为93.3%,二阶导数光谱的检索正确率为82.7%。结果表明:基于一阶导数红外光谱的绝对微分差算法的检索更适合于苹果叶病害的鉴别。基于红外光谱技术的光谱检索的方法能较好地鉴别苹果叶病害,有望成为简便、快捷、低成本的植物病害的鉴别方法。     

一种新的USED CARS相位匹配实现技术

相位匹配是相干反斯托克斯拉曼散射(CARS)测温的关键技术之一,针对现有非稳腔空间增强探测(USED)相位匹配方式中存在的背景辐射大、光路调试不灵活以及斯托克斯光利用率低的不足,提出了一种新的USED CARS相位匹配实现方案：即设计一个与斯托克斯光斑大小相当、呈45°斜角的斜反镜,用于反射全部斯托克斯光,并以斜反镜代替传统USED CARS中的环反镜,让泵浦光从斜反镜后方射入,从而形成USED相位匹配方式。新的USED CARS相位匹配方案中：由于斜反镜面积相对于环反镜大为减小,使得因反射而进入光路的背景辐射大幅降低;斜反镜本身可作为光路调节元件,因而增加了光路调试灵活度;斯托克斯光被斜反镜全部反射用于产生CARS信号,提高了其利用效率。基于平面火焰炉稳态火焰开展的测温实验结果表明：新的USED CARS相位匹配方案不但克服了传统USED CARS中存在的不足,而且具有更小的标准差,是一种更为有效的相位匹配方法。     

Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images

In this study, a pattern recognition system has been developed for the discrimination of multiple sclerosis (MS) from cerebral microangiopathy (CM) lesions based on computer-assisted texture analysis of magnetic resonance images. Twenty-three textural features were calculated from MS and CM regions of interest, delineated by experienced radiologists on fluid attenuated inversion recovery images and obtained from 11 patients diagnosed with clinically definite MS and from 18 patients diagnosed with clinically definite CM. The probabilistic neural network classifier was used to construct the proposed pattern recognition system and the generalization of the system to unseen data was evaluated using an external cross validation process. According to the findings of the present study, statistically significant differences exist in the values of the textural features between CM and MS: MS regions were darker, of higher contrast, less homogeneous and rougher as compared to CM.     

直肠癌及直肠正常组织的IR和~1H及~(31)P NMR谱研究

对12例直肠组织的红外光谱图进行了测定,并对6例直肠癌变及正常组织的固体1H和31P NMR谱与另外6例直肠癌变及正常组织的液体1H和31P-NMR谱进行研究.结果表明,(1)直肠癌变和正常组织的红外光谱中存在明显差异.(2)在固体1H和31P NMR谱中,1H NMR谱上癌组织的脂肪酸与水相关的特征峰面积的比值I(5+6+7)/I(1+2+3+4)明显变低,依据I(5+6+7)/I(1+2+3+4)比值可区分癌变与正常组织.31P NMR谱上,癌变组织的最强峰的化学位移明显向高场偏移.(3)在液体1H和31P NMR谱中,1H NMR谱上癌组织中3.20处峰强较正常组织高,表明与癌变密切相关的胆碱类化合物包括游离的胆碱、磷酸胆碱及甘油磷酸胆碱等的量增大.31P NMR谱上,癌变组织的强度最大峰的化学位移分别为1.18,1.26,1.29,1.37,正常组织的化学位移为1.70和2.18,癌变组织的强度最大峰的化学位移明显向高场偏移.通过癌变与正常组织代谢物1H NMR谱峰强度和1P NMR谱峰化学位移的差异,可以区分直肠癌变和正常组织,核磁共振1H和31P NMR谱技术可能发展成为一种诊断直肠癌的新方法.