摘要
燃烧热释放速率是表征材料燃烧性能的一个主要参数,测试数据的准确性对于材料燃烧性能的评价至关重要。本文通过试验研究,对燃烧热释放速率的数据进行了深入分析,并采用了卡尔曼滤波的方法对数据进行处理,使用数据噪声的计算对滤波效果进行了评价。研究表明,采用卡尔曼滤波技术对燃烧过程的氧浓度进行滤波,或者对最终热释放速率进行滤波,能够显著地降低测试数据的噪声,最大降幅可达50%,大大改善了测试结果的波动性。
Heat released rate of combustion is the main characterize of materials combustion performance,and the accuracy of test data is very important to the certification.In this paper,the data of combustion heat released rate were deeply analyzed,and Kalman filtering was used in data processing,and data noise was used to evaluate the filtering effect.Results showed that,if the oxygen concentration was filtered,or the final heat released rate was filtered,the noise of the test data could significantly reduce to50%,which greatly improved the volatility of test results.
作者
刘建勇
马晓茜
赵侠
邬玉龙
高世杰
Liu Jianyong;Ma Xiaoqian;Zhao Xia;Wu Yulong;Gao Shijie(Guangzhou Building Material Institute Limited Company,Guangdong 510663,China;Guangdong Province Enterprise Key Laboratory of Materials and Elements Fire Testing Technology,Guangdong 510663,China;Electric Power College,South China University of Technology,Guangdong 510663,China)
出处
《科技通报》
北大核心
2017年第3期174-176,182,共4页
Bulletin of Science and Technology
基金
广州市科技计划项目(2015090100223)
关键词
燃烧
热释放速率
卡尔曼滤波
噪声
combustion
heat released rate
Kalman filtering
data noise
