基于松弛陷波周期图法的涡街流量计信号处理技术的研究

根据涡街信号的特点及其对信号处理方法的要求 ,借鉴最大似然谱估计方法的研究成果 ,在周期图法的基础上提出了更适用于涡街频率估计的松弛陷波周期图法 ,该方法兼有高频率分辨率和高计算效率的特点 ,而且有很强的抗复杂噪声干扰的能力。同时进行了仿真和实验 ,证明该方法是一种有效的涡街信号处理方法 ,能够在一定程度上提高流量计精度 ,扩大量程比 ,增强抗干扰能力     

基于MSP430的变点数FFT算法研究与实现

介绍了一种基于MSP430单片机和变采样点数的FFT算法在涡街流量计中的应用。针对涡街流量信号的特点,在测定的频率范围内采用变换采样点数的FFT算法,并由实时测定和计算出的频率区域确定下次的采样点数。通过数据验证和误差分析,证明了变换采样点数的FFT算法可行,加强了流量计抑制噪声的能力,同时最大限度满足了实时性的要求,从而增加了流量计的性价比。     

基于小波变换的涡街流量计信号处理方法

涡街流量计有许多优点,应用比较广泛。但是,涡街流量计易于受到由管道振动和流场扰动引起的噪声干扰。涡待流量计中的处理电路不能保证仪表在工业现场的测量精度。本文研究基于小波变换的涡街流量计信号处理方法。本文介绍小波变换的基本原理和快速算法,分析小波滤波器的幅频特性,研究调整滤波器中心频率的方法,给出涡街信号的处理过程,进行仿真和实验测试。仿真和实验结果表明,小波变换能有效地减小了噪声影响,使频率测量的精度高,处理实时。小波变换是涡街流量计信号处理的一种新方法。     

基于外差式随机共振的涡街频率检测方法

涡街频率检测是涡街流量计的关键技术问题,也是当前的研究热点.分析非线性双稳系统在噪声和单一频率信号、多频率信号作用下的随机共振特性,将外差式频谱分析与随机共振原理相结合,提出基于外差式随机共振的涡街频率检测方法.理论分析、数值仿真和试验结果表明,含噪的涡街信号通过随机共振能有效地提高涡街信号信噪比,准确获取涡街频率.该方法在涡街频率检测中的应用是可行和有效的,为提高涡街流量计现场适应性及小流量弱涡街信号频率检测提供了一种新的方法.     

涡街流量计信号估计的自适应陷波方法

本文提出采用自适应陷波方法计算涡街流量计输信号的频率,并给出实验结果。流量计信号为一窄带信号,自适应陷波抑制一个特定的涡街频率,并且几乎不受位于带宽以外频率的影响。此自适应陷波器只需估计一个参数,频率计算非常简单,与以前的频率估计方法相比,它以前的频率估计方法相比,它有许多优点,是一种有效的新方法。     

涡街流量计数字信号处理方法

涡街流量计是最近发展起来的一种新型流量计，其传感器输出信号的频率与流体的流速成正比，经过计算可以测量积流量。由于管道的机械振动和流场的不稳定等因素，使得传感器输出信号中含有各种噪声，本文归纳了几种通过数字信号处理测量频率的方法，其中小波变换方法具有较好的应用前景。     

基于小波变换及FFT算法的涡街信号处理

近年来涡街流量计的应用越来越广泛,但在实际使用时管道振动和流场扰动等引起的噪声易对涡街信号造成干扰,导致实际测量精度达不到要求。本文使用小波变换及FFT算法对涡街信号进行处理。该方法对涡街信号提取和去除噪声效果良好。有利于扩大涡街流量计的量程范围,提高测量精度。     

Welch功率谱与卷积神经网络结合的滚动轴承故障诊断

针对滚动轴承故障诊断在小训练样本下和强噪声下无法取得高精度识别的问题,提出一种基于Welch功率谱结合卷积神经网络进行诊断的方法。该方法以原始时域振动信号作为输入,用Welch功率谱转换数据形态同时对高强度噪声进行抑制,再用得到的功率谱训练卷积神经网络,最后将训练好的模型用于轴承的故障诊断。与WDCNN[1]等方法进行对比,实验发现在混合负载下,该方法平均识别率正确达到99%,其它方法达到这个精度至少需要20倍以上的训练样本量,明显优于WDCNN等方法。抗噪实验结果表明噪声对信号的干扰越强烈,该方法的抗噪表现越好,其抗噪性能要显著优于WDCNN等方法。     

基于递推DFT算法的涡街流量信号处理系统

介绍VXLPC2103为处理器的涡街流量计信号处理系统。系统采用递推DFT算法对涡街流量计中传感器的信号进行数字处理,实现对涡街信号频率的准确提取。该系统体积小、成本低、抗干扰能力强,保证工业现场的测量精度和信号处理的实时性。     

基于递推DFT算法的涡街流量计信号处理系统

介绍以LPC2103为处理器的涡街流量计信号处理系统.系统采用递推DFT算法对涡街流量计中传感器的信号进行数字处理,实现对涡街信号频率的准确提取.该系统体积小、成本低、抗干扰能力强,保证工业现场的测量精度和信号处理的实时性.     

Note: anti-strong-disturbance signal processing method of vortex flowmeter with two sensors

Some digital signal processing methods have been used to deal with the output signal of vortex flowmeter for extracting the flow rate frequency from the noisy output of vortex flow rate sensor and achieving the measurement of small flow rate. In applications, however, the power of noise is larger than that of flow rate sometimes. These strong disturbances are caused by pipe vibration mostly. Under this condition the previous digital signal processing methods will be unavailable. Therefore, an anti-strong-disturbance solution is studied for the vortex flowmeter with two sensors in this Note. In this solution, two piezoelectric sensors are installed in the vortex probe. One is called the flow rate sensor for measuring both the flow rate and vibration noise, and the other is called the vibration sensor for detecting the vibration noise and sensing the flow rate signal weakly at the same time. An anti-strong-disturbance signal processing method combining the frequency-domain substation algorithm with the frequency-variance calculation algorithm is proposed to identify the flow rate frequency. When the peak number of amplitude spectrum of the flow rate sensor is different from that of the vibration sensor, the frequency-domain subtraction algorithm will be adopted; when the peak number of amplitude spectrum of the flow rate sensor is the same as that of the vibration sensor, the frequency-variance calculation algorithm will be employed. The whole algorithm is implemented in real time by an ultralow power micro control unit (MCU) to meet requirements of process instrumentation. The experimental results show that this method can obtain the flow rate frequency correctly even if the power of the pipe vibration noise is larger than that of the vortex flow rate signal.     

数字式智能涡街流量计系统的设计

设计了以TMS320LF2407A为信号采集处理单元，P89LPC932为控制单元，配有LCD液晶显示模块和红外通讯接口的主从式数字式智能涡街流量计系统。针对目前涡街流量计易受干扰，精度不高的问题，信号采集处理单元采用基于DFT的频率估计方法，实现对传感器信号频率的估计。     

Performance evaluation of piezoelectric and differential pressure sensor for vortex flowmeters

Piezoelectric and transient differential pressure sensors are two among the most widely employed sensors for vortex flowmeter application. The present study evaluates the performance of these two techniques under fully developed and disturbed flow conditions. Firstly, the location of the transient differential pressure sensor is optimized to obtain high amplitude signals and good linearity in Strouhal number. Empirical mode decomposition method in combination with autocorrelation decay is successfully employed at high Reynolds numbers to identify the vortex shedding frequency in presence of hydrodynamic noise. The performance of the differential pressure sensor deteriorates significantly under disturbed flow conditions at low Reynolds number due to the presence of low frequency components. This deterioration in the signal quality limits the lower operating range of the flowmeter with differential pressure sensor. The output signals of the piezoelectric sensor and differential pressure sensor under no flow condition are compared to obtain the background noise due to piping vibrations and electrical interferences. These results will help a designer to suggest robust signal processing algorithms for vortex frequency detection.     

基于IIR小波滤波器的涡街流量计数字信号处理系统

涡街流量计被广泛应用于过程工业,但是,由于易受由管道振动和流场扰动等因素干扰,现场测量精度无法保证,测量小流量困难。本文将小波滤波器组应用于涡街流量计信号处理中,研究基于小波滤波的涡街信号处理方法,分析了小波滤波器的幅频特性对信号分析的影响,构造了幅频特性好的IIR型小波滤波器组。本文研制了基于ADSP2181的涡街流量计数字信号处理系统,并进行了气体流量和水流量标定实验,实验结果表明,基于小波滤波的涡街流量计数字信号处理系统有良好的适配性能,性能指标优于常规的涡街流量计处理系统。     

基于DSP、具有谱分析功能的涡街流量计信号处理系统

本文介绍一种以数字信号处理器（DSP）为核心、具有谱分析功能的涡街流量计信号处理系统。它采用周期图谱分析方法对涡街流量计中传感器的信号进行数字处理,准确计算出信号的频率,测出准确的体积流量,它抗干扰能力强,保证现场测量精度,扩大量程比,现场显示,并适用于不同口径和测量不同流体的一次仪表,它采用了DSP,保证了处理的实时性。     

Response of a dual triangulate bluff body vortex flowmeter to oscillatory flow

In this paper, on an experimental facility, the measurement characteristics of a diameter 50 mm dual triangulate bluff body vortex flowmeter in steady flow and oscillatory flow were investigated. Then, the Hilbert Huang Transformation (HHT) method was used to assess the anti-interference performances and the vortex street stability in oscillatory flow for the dual triangulate bluff body vortex flowmeter and a single bluff body vortex flowmeter. Offline simulation was carried out on the anti-interference performances of the dual triangulate bluff body vortex flowmeter signal noise in oscillatory flow by the method of the EMD-scales filter. The major findings are: (a) in most case, the EMD-scales filter may be as good at de-noising effect for the dual bluff body vortex flowmeter in oscillatory flow than that for the single bluff body vortex flowmeter in oscillatory flow. The vortex street stability in oscillatory flow for the dual bluff body is similar to that for the single bluff body. (b) In some special case, the EMD-scales filter is unable to play a better de-nosing role for the dual bluff body vortex flowmeter in oscillatory flow. The invalid condition of the EMD-scales filter for the dual bluff body vortex flowmeter in oscillatory flow is different to that of the single bluff body vortex flowmeter and it was advanced in this paper. (C) The vortex street stability for the dual bluff body vortex flowmeter is better than that for the single bluff body vortex flowmeter.     

基于DSP的低成本涡街流量计信号处理系统

涡街流量计易受噪声影响，现场测量精度得不到保证，节程比受限。本文选用片上资源丰富的TMS320LF2407A DSP芯片作为处理器，研制相应的数字信号处理系统。系统选用数宁滤波加频谱分析的信号处理方法处理传感器信号，提高仪表抑制噪声的能力，扩展量程比；模拟信号调理部分加入限幅滤波电路，解决传感器信号强度变化大、需要调整硬件电路参数的问题。该系统体积小、成本低、功能齐全，并可与不同口径的一次仪表匹配。目前该系统已通过实验标定，并应用于工业现场。