A recognition method of vibration parameter image based on improved immune negative selection algorithm for rotating machinery

To overcome the limitations of traditional monitoring methods, based on vibration parameter image of rotating machinery, this paper presents an abnormality online monitoring method suitable for rotating machinery using the negative selection mechanism of biology immune system. This method uses techniques of biology clone and learning mechanism to improve the negative selection algorithm to generate detectors possessing different monitoring radius, covers the abnormality space effectively, and avoids such problems as the low efficiency of generating detectors, etc. The result of an example applying the presented monitoring method shows that this method can solve the difficulty of obtaining fault samples preferably and extract the turbine state character effectively, it also can detect abnormality by causing various fault of the turbine and obtain the degree of abnormality accurately. The exact monitoring precision of abnormality indicates that this method is feasible and has better on-line quality, accuracy and robustness.     

基于GEAS 3D的乌东德水电站防渗帷幕局部灌浆异常分析及处理

防渗帷幕作为解决水库渗漏问题的最主要手段,在水电工程建设中被广泛应用。近年来,在我国西南地区水电工程陆续兴建,由于西南地区碳酸盐岩地层发育、岩溶条件复杂,防渗帷幕施工期,局部灌浆量大、串浆、漏浆等灌浆异常时有发生。乌东德水电站作为典型碳酸盐岩地区修建的巨型水电站,最大坝高270 m,最大挡水水头约160 m,具备帷幕规模大、水头高、地质条件复杂的特点。针对该电站大坝防渗帷幕左岸高程850 m灌浆平洞的局部灌浆异常,在利用灌浆孔、专门勘察孔、施工支洞、物探检测等传统手段的基础上,创新性依托“GEAS 3D(灌浆工程三维地质信息可视化分析系统)”,结合海量灌浆施工资料进行综合分析,查明异常区范围及工程地质特征、灌浆特征,为下一步针对性处理提供依据。研究成果提供了一种基于“地质BIM+灌浆信息化”分析管理平台的灌浆异常综合分析解决方案,可为类似工程提供借鉴。     

锅炉送风机电机轴承故障分析及处理

分析了送风机电机轴承异常的原因，提出处理轴承异常的措施经实施取得良好的效果。     

通信电源中单相Buck功率因数校正器的研究

研究了断续电流模式(DCM)下单相Buck电路作为功率因数校正器的拓扑电路和工作原理,给出了实现功率因数校正的临界条件和临界电感的计算公式;分析了输入电流产生畸变的原因和影响畸变程度的主要因素;分别用功率匹配法和等效电流源法对该电路的输出电压纹波进行了分析,总结了输入电流畸变与输出电压纹波的定性关系。仿真结果验证了理论分析的正确性,表明单相Buck功率因数校正器(即单相Buck PFC)可以满足通信电源对功率因数的要求。     

Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA)

Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data.     

青海坑得弄舍金多金属矿地球化学异常特征及找矿远景分析

1999年,都兰县沟里地区开展1:5万水系沉积物测量,圈出了26处多元素综合异常,其中AS-7、AS-10、AS-17等异常均为矿致异常.AS-23、AS-24、AS-25综合异常位于工作区;2005年峻田物化探公司对这3个多元素综合异常进行了Ⅲ级查证,开展了1:2.5万沟系岩屑测量,共圈定4个综合异常.其中AS-23异常分解为(I、Ⅱ、Ⅲ)3个多元素综合异常,AS-24异常区圈出Ⅳ号多元素综合异常.经2007年普查工作,在Ⅳ号异常内发现了金多金属矿体8条.     

Stress induced magnetic field abnormality

Residual stresses in ferromagnetic material affect the direction and structure of domains and generate magnetic field abnormality on the surface.In the formation of stress induced magnetic field,the influence of geomagnetic field is unclear.Residual stress specimen was produced by tight matching of a round ring and a peg.The magnetic fields of contrast specimens,which were produced in geomagnetic field or in shielding geomagnetic field,were ingspected with 8mm lift-off.The results show that mean amplitude of magnetic field of the specimen produced in geomagnetic field is 0.85% larger than that of specimen produced in shielding geomagnetic field.So the formation of stress induced magnetic field abnormality above the surface of inspected ferromagnetic material geomagnetic field gives little contribution.     

基于FMEA的应用软件恶意性检查的研究

FMEA(失效模式与后果分析)是一种工程开发的重要思想.将FMEA的思想应用到软件恶意性检查之中,针对恶意软件的特点,提出了软件恶意性检测系统的协议及理论,详细设计了软件恶意性检测系统的方案,着重在软件的行为特征检测方面进行了剖析.实现了对于进程信息和网络相关信息的综合分析和异常情况判断,并以内核驱动程序的方式实现了对注册表信息和文件操作的动态监控,达到了比较准确地判断和识别恶意程序的目的,最后给出了一个在实际系统中的应用实例和测试结果.     

移动机器人异常检测及避让策略

异常运动状态识别对移动机器人航迹推算、定位、导航以及机器人安全等至关重要。该文以自行研制的移动机器人为研究对象,分析了4个驱动轮的状态特点(正常、打滑、受阻、卡死),提取了8个反映4个驱动轮状态的特征,识别了驱动轮运动状态,针对受阻和被卡死两种异常设计了避让策略。实验结果表明,该方法可以有效地识别不同的运动状态,并可以进行有效的避让。     

Movement abnormalities and the progression of prodromal symptomatology in adolescents at risk for psychotic disorders.

The link between movement abnormalities and psychotic disorders is presumed to reflect common neural mechanisms that influence both motor functions and vulnerability to psychosis. The prodromal period leading to psychotic disorders represents both a viable point for intervention and a developmental period that, if studied, could shed light on etiology; however, no published studies have examined the temporal progression of this link. A group with high levels of prodromal symptomatology (i.e., adolescents with schizotypal personality disorder [SPD]; n = 42) and both psychiatric controls (with other personality disorders or conduct disorder [OD]; n = 30) and nonpsychiatric controls ([NC]; n = 49) were recruited. Videotapes of structured psychiatric interviews were coded for movement abnormalities by raters blind to participants' diagnostic status, and follow-up assessments were conducted 1 year later. Controlling for psychotropic medications, the authors found that adolescents with SPD exhibited significantly more motor abnormalities in the face and upper body than did OD and NC controls. At baseline, movement abnormalities were positively correlated with the severity of positive, negative, and total prodromal symptoms. Within the SPD group, baseline movement abnormalities predicted symptom severity 1 year later. Movement abnormalities represent an early risk indicator that may be predictive of later symptom severity and potentially of psychosis onset. (PsycINFO Database Record (c) 2010 APA, all rights reserved)