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971.
972.
973.
基于小波分析的电磁干扰测量技术研究 总被引:2,自引:0,他引:2
该文提出了一种新颖的可在开阔场快速测试受试设备的电磁干扰的数字信号处理技术。利用小波变换对测试信号分频滤波处理,可以在被环境噪声污染的地方进行受试设备的电磁辐射干扰测试。基于小波分析的阈值函数滤波方法得到应用。利用小波分析时频都可局部化的特点计算出环境噪声的相关性,提取出噪声的时频特性,并由给出的阈值函数对噪声滤除或者衰减,得到受试设备的实际电磁辐射信号。测试方法使得受试设备不必进入暗室即可进行电磁辐射干扰测量,既节省了测试费用又方便了受试设备的电磁干扰测试。系统运行结果证明此方法在30 Hz~1000 MHz的频段内成功衰减并滤除了环境噪声。 相似文献
974.
《Baosteel Technical Research》2010,(Z1):107
Through summary and extraction of current steelmaking design,process and equipment technologies and production technologies for 300 t grade converters in Baosteel,the article analyzes and elaborates the significance of independent integration of 300 t grade converters in Zhanjiang,major targets of the independent integration in converter process technologies,equipment packages and controls,the innovated critical technologies and comparison with overseas advanced technologies,major technical difficulties in the integration in Baosteel and their solutions,as well as general mindset and final objectives of the project.The total integration of technology for Shanghai No.1 Steel Making Plant of Baosteel was undertaken by Nippon Steel.And Kawasaki Steel was responsible for the total integration of technology for 4# and 5# converters of Shanghai No.2 Steelmaking Plant of Baosteel.Based on digestion,absorption and innovation of the introduced technologies,Baosteel has firstly achieved the independent integration of 6# converter,5# RH and 3# LF projects in the Shanghai No.2 Steelmaking Plant of Baosteel.Therefore, Baosteel shall take advantages of the favorable conditions and experiences and advanced steel making technologies of Baosteeel to master the imported new steelmaking technologies in the world and then form the advanced complete set steel making technologies and equipment at home and abroad.The achievement of independent integration of Zhanjiang Steel Making Project will make the breakthrough for the construction of large - sized steel making plant in Baosteel.300 t converter technology integration is undertaken by Baosteel independently in instead of by the foreign side in the past. 相似文献
975.
Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models
This paper proposes a novel price forecasting method based on wavelet transform combined with ARIMA and GARCH models. By wavelet transform, the historical price series is decomposed and reconstructed into one approximation series and some detail series. Then each subseries can be separately predicted by a suitable time series model. The final forecast is obtained by composing the forecasted results of each subseries. This proposed method is examined on Spanish and PJM electricity markets and compared with some other forecasting methods. 相似文献
976.
This paper presents some forecasting techniques for energy demand and price prediction, one day ahead. These techniques combine wavelet transform (WT) with fixed and adaptive machine learning/time series models (multi-layer perceptron (MLP), radial basis functions, linear regression, or GARCH). To create an adaptive model, we use an extended Kalman filter or particle filter to update the parameters continuously on the test set. The adaptive GARCH model is a new contribution, broadening the applicability of GARCH methods. We empirically compared two approaches of combining the WT with prediction models: multicomponent forecasts and direct forecasts. These techniques are applied to large sets of real data (both stationary and non-stationary) from the UK energy markets, so as to provide comparative results that are statistically stronger than those previously reported. The results showed that the forecasting accuracy is significantly improved by using the WT and adaptive models. The best models on the electricity demand/gas price forecast are the adaptive MLP/GARCH with the multicomponent forecast; their NMSEs are 0.02314 and 0.15384 respectively. 相似文献
977.
针对故障齿轮振动信号的非平稳特征和包含强烈噪声,很难提取故障特征频率的情况,提出了基于双树复小波和奇异差分谱的故障诊断方法。首先将非平稳的故障振动信号通过双树复小波分解为几个不同频段的分量;由于噪声的影响,从各个分量的频谱中难以准确地得到故障频率。然后对包含故障特征的分量构建Hankel矩阵并进行奇异值分解,求奇异值差分谱曲线,确定奇异值个数进行SVD重构降噪,由此实现对故障特征信息的提取。最后再求希尔伯特包络谱,便能准确地得到故障频率。实验结果和工程应用表明,该方法可以有效地提取齿轮的故障特征信息,验证了方法的可行性和有效性。 相似文献
978.
979.
石油钻具用轴承钢G55SiMoVA(/%:0.52~0.55C,0.90~1.10Si,0.30~0.50Mn,0.40~0.60Mo,0.20~0.30V,≤0.015P,≤0.015S)的工艺流程为废钢+60%~70%铁水-50 t UHP EBT EAF-60 t LF-VD-260 mm×300 mm连铸。通过采用电弧炉全程泡沫渣埋弧操作,EBT出钢合金化,控制LF二次精炼渣(/%:46~54CaO,10~16SiO2,11~13Al2O3,4.5~7.0MgO)碱度3.2~4.5,SiC扩散脱氧和60~80 L/min流量氩气搅拌,VD 67 Pa真空状态下保持20 min,连铸全程保护浇铸,所生产G55SiMoVA轴承钢轧材中氧含量为9×10-6~10×10-6。 相似文献
980.
研发的25 mm Q800CFE钢板(/%:0.04~0.08C,0.20~0.50Si,1.50~1.80Mn,≤0.015P,≤0.005S,0.015~0.060Nb,≤0.30Mo,≤0.03Ti,0.0008~0.0030B;裂纹敏感性指数≤0.23)的冶金流程为铁水预处理-120 t转炉-LF-RH-220 mm CC-轧制工艺。成品板终轧≤850℃,水冷至≤400℃,冷却速度20~30℃/s,并进行530~635℃回火处理。测试了Q800CFE钢板的动态连续冷却转变(CCT)曲线,研究了回火温度对组织和力学性能的影响,以及试验了该钢的焊接性能。结果表明,随回火温度增加,板条组织尺寸增大;在530℃回火时,Q800CFE钢板具有较优的力学性能,抗拉强度≥900 MPa、伸长率≥15%,-40℃夏比冲击功≥100 J;25 mm板室温下预热75℃焊接接头即可防止产生冷裂纹。 相似文献