[1]张巍,李雨成,张欢,等.面向通风智能化的风速传感器结构化数据降噪方法对比*[J].中国安全生产科学技术,2021,17(8):70-76.[doi:10.11731/j.issn.1673-193x.2021.08.011]
　ZHANG Wei,LI Yucheng,ZHANG Huan,et al.Comparison of structured data noise reduction methods for airflow speed sensor of intelligent ventilation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(8):70-76.[doi:10.11731/j.issn.1673-193x.2021.08.011]

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面向通风智能化的风速传感器结构化数据降噪方法对比*

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参考文献/References:

［1］王仁涛,王成虎,宋凯.青岛地铁超浅埋段爆破振动监测数据特征研究［J］.中国安全生产科学技术,2015,11(12):72-78. WANG Rentao,WANG Chenghu,SONG Kai.Study on characteristics of monitoring data for blasting vibration in the ultra-shallow buried section of Qingdao metro ［J］.Journal of Safety Science and Technology,2015,11(12):72-78.
［2］郝爽,李国良,冯建华,等.结构化数据清洗技术综述［J］.清华大学学报(自然科学版),2018,58(12):1037-1050. HAO Shuang,LI Guoliang,FENG Jianhua,et al.Survey of structured data cleaning methods ［J］.Journal of Tsinghua University (Science & Technology),2018,58(12):1037-1050.
［3］付净,聂方超,荆德吉,等.数据挖掘在预测组织事故防控效果中的应用［J］.中国安全生产科学技术,2020,16(10):152-157. FU Jing,NIE Fangchao,JING Deji,et al.Application of data mining in predicting prevention and control effect of organizational accidents ［J］.Journal of Safety Science and Technology,2020,16(10):152-157.
［4］王其军,程久龙.基于免疫神经网络模型的瓦斯浓度智能预测［J］.煤炭学报,2008，33(6):665-669. WANG Qijun,CHENG Jiulong.Forecast of coal mine gas concentration based on the immune neural network model ［J］.Journal of China Coal Society,2008,33(6):665-669.
［5］付华,杨欣,高婷.基于SVR的瓦斯传感器故障诊断方法［J］.传感器与微系统,2009,28(2):10-12. FU Hua,YANG Xin,GAO Ting.Method of gas sensor fault detection based on SVR［J］.Transducer and MicrosystemTechnologies,2009,28(2):10-12.
［6］马明焕,王新浩,许晓辉,等.基于数据挖掘技术的事故隐患预警方法研究［J］.中国安全生产科学技术,2017,13(7):11-17. MA Minghuan,WANG Xinhao,XU Xiaohui,et al.Research on early-warning method of potential safety hazard based on data mining techniques ［J］.Journal of Safety Science and Technology,2017,13(7):11-17.
［7］付华,梁明广,康海潮.基于主元分析和D-S证据理论的传感器故障诊断与应用［J］.计算机应用研究,2011(4):1315-1317. FU Hua,LIANG Mingguang,KANG Haichao.Based on principal component analysis and D-S evidence theory and application of sensor fault diagnosis ［J］.Application Research of Computers,2011(4):1315-1317.
［8］王军号,孟祥瑞,吴宏伟.基于小波包与EKF-RBF神经网络辨识的瓦斯传感器故障诊断［J］.煤炭学报,2011，36(5):867-872. WANG Junhao,MENG Xiangrui.WU Hongwei.Gas sensor fault diagnosis based on wavelet packet and EKF-RBF neural network identification ［J］.Journal of China Coal Society,2011,36(5):867-872.
［9］赵金宪,金鸿章.基于小波包和神经网络的瓦斯传感器故障诊断［J］.传感器与微系统,2010,29(5):80-82. ZHAO Jinxian,JIN Hongzhang.Gas sensor fault diagnosis based on wavelet packet and neural network ［J］.Transducer and Microsystem Technologies,2010,29(5):80-82.
［10］黄序桢.基于监测数据的矿井通风仿真系统研究与应用［D］.阜新：辽宁工程技术大学,2014.
［11］黄凯峰.煤矿安全监测监控系统瓦斯浓度异常信号辨识方法研究［D］.淮南：安徽理工大学,2016.
［12］郭松,郭广礼,李怀展,等.基于降维模糊C均值聚类算法的采动场地稳定性评价［J］.煤炭科学技术,2020,48(10):137-142. GUO Song,GUO Guangli,LI Huaizhan.et al.Stability evaluation of mining-induced goaf site based on dimensionality reduction fuzzy C-means algorithm ［J］.Coal Science and Technology,2020，48(10):137-142.
［13］李波,陈广平,于正兴.基于因果模糊聚类法预测覆岩裂隙带高度研究［J］.中国安全生产科学技术,2013,9(11):25-29. LI Bo,CHEN Guangping,YU Zhengxing.Study on prediction of fracture zone height of overburden rock bosed on causality fuzzy clustering method ［J］.Journal of Safety Science and Technology,2013,9(11):25-29.
［14］佘玉萍.基于中位数的双MAD的离群值检测方法［J］.廊坊师范学院学报(自然科学版),2016,16(2):25-27. SHE Yuping.Method fordetecting outliers based on double MAD from median ［J］.Journal of Langfang Teachers University (Natural Science Edition),2016,16(2):25-27.
［15］程传奇,郝向阳,刘松林.基于改进型MAD算法的地形辅助惯性导航［J］.电子测量技术,2015,38(4):6-9. CHENG Chuanqi,HAO Xiangyang,LIU Songlin.Improved MAD algorithm for terrain aided inertial navigation ［J］ Electronic Measurement Technology,2015,38(4):6-9.
［16］吴迪,陈健,石满,等.基于Savitzky-Golay滤波算法的FY-2F地表温度产品时间序列重建 ［J］.国土资源遥感,2019,31(2):59-65. WU Di,CHEN Jian,SHI Man,et al.Reconstruction of land surface temperature time-series datasets of FY-2F based on Savitzky-Golay filter ［J］ Remote Sensing for Land and Resources,2019,31(2):59-65.

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