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机构地区:[1]浙江大学机械与能源工程学院,杭州310027
出 处:《机械工程学报》2007年第2期141-146,共6页Journal of Mechanical Engineering
基 金:国家自然科学基金资助项目(50374061)。
摘 要:在对国内外钢液连铸下渣检測系统(SDS)技术进行调研和分析的基础上,提出一种基于小波分析的SDS实现方法。针对SDS的设计与实现特点,搭建以振动测量为基础的试验平台。通过对钢包到中间包保护浇注的过程及其支承结构的相关研究,建立保护浇注支承结构的振动动力学模型,并且考虑对钢液冲击力的变化及影响测振点振动的因素,利用基本小波处理方法对钢水振动信号进行初步分析,并通过小波包技术进行进一步的特征提取,最终实现对钢液状态的有效识别。试验证明:该方法实现成本较低,对现有生产设备改造较小,使用寿命长,下渣检出率可达95%以上。Based on lots of investigation and analysis for internal and overseas slag detection system (SDS) technology, a kind of SDS realization method using wavelet analysis is brought forward. According to the characteristic of design and realization for SDS, experiments platform for vibration measurement is established. At^er studying casting process from ladle to pouring box and protection casting supporting mechanical structure, vibration dynamics model of supporting structure is founded, also variation of steel water impact force and influencing factors of inspecting spot vibration are discussed. Primary analysis is done for steel water vibration signal by the way of basal wavelet processing method, and the deeply feature extraction is finished to realize the effective recognition for steel water status using wavelet package method. Experimental results indicate that the method has low realization cost and long operating life, requires little rebuilding for current devices, and its slag detection rate can reaches more than 95 percents.
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