HPF(高通数字滤波器)的电网谐波检测技术的研究与应用

为有效地消除电力谐波污染、确保电网运行安全,必须采用有源电力滤波技术;为改善有源电力滤波器的性能,必须采取先进的谐波检测方法、高效的逆变技术。笔者在研究有源电力滤波技术的基础上,对有源电力滤波的关键技术即谐波检测与分离技术,进行了探讨和深入研究,给出了一种HPF(高通数字滤波器)的谐波检测与分离方法,进行了理论验算,利用MATLAB仿真结果对该检测技术进行实验研究。仿真和实验结果表明:该法比常用的LPF(低通数字滤波器LowPassDigitalFilter)的谐波检测分离方法具有更好的检测实时性;在电网电压有畸变时也能达到很高的检测精度;该检测技术应用于混合有源电力滤波器后能大大改善滤波性能。     

基于TMS320F240 DSP的电网谐波抑制全数字化控制的研究

为治理电力系统谐波污染 ,提高电力系统运行的安全稳定性 ,笔者对混合式并联有源电力滤波系统的结构和工作原理进行了分析和研究。该系统由无源滤波器和小容量有源滤波器串联构成 ,与被补偿的谐波负载并联连接。基于TMS32 0F2 4 0DSP开发套件 ,设计数字控制器主程序和中断服务子程序。实验结果表明 ,采用TMS32 0F2 4 0DSP编程方便并直观 ,运算精度高 ,控制器参数调整方便 ,易于实现各种控制策略。研究成果对DSP在有源电力滤波系统中的应用有重要参考价值。     

防毒面具用活性炭的结构与特征研究

从研究活性炭所具有的孔隙结构出发，重点探讨防毒面具用活性炭的结构与防护性能的关系，明确了不同结构特性的活性炭对不同类型有毒气体防护机理与性能的差异，为科学选择防素面具用活性炭提供了重要依据。文章还对体现活性炭孔隙结构的主要指标－孔容积的计算方法进行了探讨。     

消除电力谐波污染 确保电网运行安全

笔者从维护绿色电力环境、确保电网运行安全的角度出发 ,简述了抑制和消除电网谐波污染意义 ,着重介绍了一种新颖的用于消除电网谐波污染的装置 (有源电力滤波器 )的滤波原理和研究。这种滤波器与传统的LC无源滤波器的区别在于它采用了积极主动的滤波方式 ,将检测到的电网谐波电流经DSP(高速数字处理器 )运算处理后生成谐波补偿电流指令信号 (六路PWM驱动信号 ) ,然后 ,用此信号去驱动由 6只MOSFET管组成的三相逆变电路 ,逆变电路产生谐波补偿电流去抵消电网谐波电流 (谐波补偿电流与谐波电流大小相等、方向相反 )。理论研究和实验结果表明 :在电力系统中使用该装置可动态抑制和消除谐波电流 ,为维护电网运行安全和绿色电力环境提供了必要的技术保障。     

有源滤波器在港口起重设备上的应用

由于技术的进步和生产要求的提高．变频技术被越来越多的使用在包括港口起重机械在内的起重设备中。在提高整机性能的同时,大量谐波的出现也给起重设备的运行带来较大危害。本文针对某港口出现的谐波问题,采用了有源滤波器对谐波进行处理,取得了良好的效果,具有广阔的应用前景。     

煤和瓦斯突出预测煤体结构指标计算方法的探讨

煤体结构类型是煤和瓦斯突出预测的重要地质指标,笔者在对煤体结构类型与瓦斯参数关系研究的基础上,提出突出煤层煤体结构有效厚度的概念和计算方法,并以河南平顶山矿区为例,进一步探讨了突出煤层煤体结构指标临界值的计算方法,为煤体结构指标定量计算提供了新的研究方法。     

基于分散式系统设计的有源声屏障实验研究

为解决有源声屏障集中式系统设计难以大尺度应用，而分散式系统将实现软边界作为目标导致的远场效果差的问题，本文在Berkhoff等工作基础上，基于分散式系统架构，提出基于声屏障顶部近场传声器的有源控制策略，从近场传感器信号导出虚拟误差信号以实现远场降噪。依据本方法在半消声室构建有源声屏障系统，通过实验测试验证提出的方法，实验表明：本文建立的有源声屏障系统在设计目标频段实现了声屏障后部大范围空间的有效降噪；相比普通的集中式和分散式有源声屏障，本文方法具有降噪范围更大、更均衡，并可直接扩展至大尺度声屏障的优点。     

防毒面具用活性炭的结构与特性研究

从研究活性炭所具有的孔隙结构出发,重点探讨防毒面具用活性炭的结构与防护性能的关系,明确了不同结构特性的活性炭对不同类型有毒气体防护机理与性能的差异,为科学选择防毒面具用活性炭提供了重要依据。文章还对体现活性炭孔隙结构的主要指标——孔容积的计算方法进行了探讨。     

工伤事故原因的分析

工伤事故原因的分析苏建中（福建省劳动安全卫生检测检验中心站，福州３５０００３）１引言工伤事故是生产系统中人机关系失配的后果。但对每一起具体的事故而言，物的不安全状态和人的不安全行为，在促成事故发生中所起的作用是大不相同的。如何吸取事故的教训，防止悲剧...     

采用TSF技术改善电力变压器运行的安全性

分析了无功功率和高次谐波对电力变压器的危害,介绍了晶闸管投切滤波器(TSF)装置的特点、结构原理．提出了TSF装置在工厂实际应用中的主电路结构,操作及控制方案。实践证明,TSF晶闸管投切滤波器装置起到了高效节能、优化电能质量的作用,保证了电网的安全运行。     

Aspects of Tests and Assessment of Filtering Materials Used for Respiratory Protection Against Bioaerosols. Part I: Type of Active Substance,Contact Time,Microorganism Species

This paper presents the results of a study on antimicrobial activity of polymer filter nonwovens produced by needle-punching or melt-blowing with an addition of disinfecting agents. The first part of the paper discusses how the biocidal activity of nonwovens is a function of the active agent added to the nonwovens, the duration of the contact of microorganisms with nonwovens and the type of microorganisms. The types of fibres and disinfecting agents had a considerable effect on the biocidal activity of nonwovens. The biocidal effect of nonwovens increased with the duration of their contact with microorganisms. Fibre activity differed considerably depending on the species of the microorganism. The microorganisms most sensitive to biocidal activity of the active filter nonwoven were S. aureus, M. flavus and E. coli. There were no biocidal effects on spore-forming bacterium B. subtilis.     

Deposition and Resuspension of Selected Aerosols Particles on Electrically Charged Filter Materials for Respiratory Protective Devices

The primary aim of the study was to analyse the non-steady state of filtration for selected electrostatic filter materials designed for use in respiratory protective devices. The obtained results showed that the filtration process in electrostatic filters was dependent in the main on the following factors: type of the filter material, electrostatic field strength of the material, and the charge of the aerosol.

To a lesser degree the filtration process depended on the sign of the charge and the relative humidity of the air. A significant correlation was found between the increase in the penetration and the decrease in breathing resistance while the filter was being loaded.

The effect of resuspension (tearing off and re-deposition of dust agglomerates inside the filter) on the filtration process very significant. It was also observed that under certain conditions electrostatic filter materials lost their protection properties.     

Deposition and resuspension of selected aerosols particles on electrically charged filter materials for respiratory protective devices.

The primary aim of the study was to analyse the non-steady state of filtration for selected electrostatic filter materials designed for use in respiratory protective devices. The obtained results showed that the filtration process in electrostatic filters was dependent in the main on the following factors: type of the filter material, electrostatic field strength of the material, and the charge of the aerosol. To a lesser degree the filtration process depended on the sign of the charge and the relative humidity of the air. A significant correlation was found between the increase in the penetration and the decrease in breathing resistance while the filter was being loaded. The effect of resuspension (tearing off and re-deposition of dust agglomerates inside the filter) on the filtration process very significant. It was also observed that under certain conditions electrostatic filter materials lost their protection properties.     

变光焊接护目镜光电响应特性研究

为促进变光焊接护目镜新技术新产品的应用和发展 ,为制定该产品专业标准提供依据 ,通过对焊接弧光特性、可见光特性、焊工盲目引弧过程、焊工闪光盲、变光护目镜响应时间和保持时间等的分析和研究 ,提出了变光焊接护目镜响应时间和保持时间应该根据焊工引弧时眼睛最大允许照射量和允许闪光盲时间来确定 ,并进一步提出了变光焊接护目镜响应时间和保持时间的定义、指标值 ,以及测试系统设计要求     

ARX modeling approach to leak detection and diagnosis

This work presents a time series strategy for detection, location and quantification of leaks in large pipeline systems. The technology has two active components, which operate sequentially: the Detector and the Localizer. The Detector continuously screens real-time data, searching for any anomalies such as leaks, which are detected (or not) depending on their size and position. The Detector is based on auto-regressive multi-input/multi-output (MIMO) ARX predictors with one input filter. Subsequent to successful leak detection, the Localizer is launched to diagnose the leak via estimation of its parameters – diameter and location – using recorded data on a Search Time Window that includes information in the neighborhood of the instant of detection. The Localizer is also an ARX predictor, but with two input processors, the first is a filter for dynamic plant inputs and the second filter processes “parameter signals” of active leaks. The Localizer is developed beforehand via model identification with plant data under the action of known, artificially simulated, leaks. It is, therefore, able to recognize an active pattern of leak parameters, by maximizing the adherence of its predictions to data in the Search Time Window. The proposed detection and location methods were successfully tested in simulated leak scenarios for an industrial naphtha pipeline.     

Application of Neural Networks in Active Noise Reduction Systems

Active noise reduction systems based on a control unit in the form of a finite impulse response filter assume the linearity of every single component. Neural networks, which have so far been seldom used in this field, are a kind of a filter with the ability to project nonlinear characteristics of an active noise reduction system. This paper presents some simulation research studies of active noise reduction systems based on neural networks. Also presented are results of the operation of systems with different levels of complexity as well as the influence of different parameters of a neural network and of the system itself on those results.