分享
[1]李刚王耀忠邢海峰郑大海林晓晖曾科宏杨文明闫会朋.一种光纤管道安全预警系统的 EAD 算法[J].油气储运,2019,38(07):804-809.[doi:10.6047/j.issn.1000-8241.2019.07.014]
 LI Gang,WANG Yaozhong,XING Haifeng,et al.An EAD algorithm for Pipeline Security Forewarning System[J].Oil & Gas Storage and Transportation,2019,38(07):804-809.[doi:10.6047/j.issn.1000-8241.2019.07.014]
点击复制

一种光纤管道安全预警系统的 EAD 算法

参考文献/References:

[1] 黄伟,潘俊宇. 分布式光纤预警系统在成品油管道安防中的应 用[J]. 激光技术,2016,40(6):897-901. HUANG W,PAN J Y. Application of distributed fiber optic warning system in the refined oil pipeline[J]. Laser Technology, 2016,40(6):897-901.
[2] 王立新. 利用通信光缆预警系统在管道安全防范中发挥作 用[J]. 通信电源技术,2014,31(5):125-126. WANG L X. Use the communications cable warning systems play a role in pipeline safety precaution[J]. Telecom Power Technology,2014,31(5):125-126.
[3] 朱建新,王历军,张金权,等. 光纤管道安全预警系统在油气管 道安全防范中的应用[J]. 石油工程建设,2009,35(5):61-64. ZHU J X, WANG L J, ZHANG J Q, et al. Application of pipeline optical fiber early-warning system in safety protection of oil and gas pipelines[J]. Petroleum Engineering Construction, 2009,35(5):61-64.
[4] 吴瑞东,王宇,王东,等. 光纤振动传感系统相位调制模块的嵌 入式设计[J]. 传感技术学报,2017,30(2):200-205. WU R D,WANG Y,WANG D,et al. Embedded design of phase modulation module for optical fiber vibration sensing system[J]. Chinese Journal of Sensors and Actuators,2017,30(2):200-205.
[5] 潘亮,刘琨,江俊峰,等. 分布式光纤振动和温度双物理量传感 系统[J]. 中国激光,2018,45(1):266-271. PAN L,LIU K,JIANG J F,et al. Distributed fiber-optic vibration and temperature sensing system[J]. Chinese Journal of lasers,2018,45(1):266-271.
[6] 侯俊芳,裴丽,李卓轩,等. 光纤传感技术的研究进展及应用[J]. 光电技术应用,2012,27(1):49-53. HOU J F,PEI L,LI Z X,et al. Development and application of optical fiber sensing technology[J]. Electro-Optic Technology Application,2012,27(1):49-53.
[7] ZHANG Z Y,BAO X Y. Distributed optical fiber vibration sensor based on spectrum analysis of polarization-OTDR system[J]. Optics Express,2008,16(14):10240-10247.
[8] LU L D,SONG Y J ZHU F,et al. Dual frequency probe based coherent optical time domain reflectometry[J]. Optics Communications,2012,285(10):2492-2495.
[9] LU Y L,ZHU T,CHEN L,et al. Distributed vibration sensor based on coherent detection of phase-OTDR[J]. Journal of Lightwave Technology,2010,28(22):3243-3249.
[10] MARTINS H F,MARTIN-LOPEZ S,CORREDERA P,et al. Distributed vibration sensing over 125 km with enhanced SNR using phi-OTDR over a URFL cavity[J]. Journal of Lightwave Technology,2015,33(12):2628-2632.
[11] WU H J, WANG J, WU X W, et al. Real intrusion detection of distributed fiber fence in practical strong fluctuated noisy backgrounds[J]. Sensor Letters,2012,10(7):1557-1561.
[12] 刘素杰,张金权,万江飞,等. 基于光纤振动安全预警系统的振 源识别算法研究[J]. 光学技术,2016,42(1):89-96. LIU S J,ZHANG J Q,WAN J F,et al. The research of recognition algorithm of vibration source based on the optical fiber vibration safety warning system[J]. Optical Technique, 2016,42(1):89-96.
[13] 李小玉,吴慧娟,彭正谱,等. 基于时间序列奇异谱特征的 Φ-OTDR 扰动检测方法[J]. 光子学报,2014,43(4):169-173. LI X Y,WU H J,PENG Z P, et al. A novel time sequence singular spectrum analysis method for Φ-OTDR disturbance detection system[J]. Acta Photonica Sinica,2014,43(4):169-173.
[14] 张叶浩,衣文索,崔光磊,等. 基于 LMS 算法的光纤振动预 警系统降噪技术研究[J]. 长春理工大学学报(自然科学版), 2018,41(1):34-43. ZHANG Y H,YI W S,CUI G L,et al. Research on noise control technology in optical-fiber vibration early-warning system based on LMS algorithm[J]. Journal of Changchun University of Science and Technology(Natural ScienceEdition),2018,41(1):34-43.
[15] 曲志刚,封皓,靳世久,等. 基于支持向量机的油气管道安全监 测信号识别方法[J]. 天津大学学报,2009,42(5):465-470. QU Z G,FENG H,JIN S J,et al. An SVM-based recognition method for safety monitoring signals of oil and gas pipeline[J]. Journal of Tianjin University,2009,42(5):465-470.
[16] 孙茜,曾周末,李健. 相关向量机在光纤预警系统模式识别中 的应用[J]. 天津大学学报(自然科学与工程技术版),2014, 47(12):1115-1120. SUN Q,ZENG Z M,LI J. Application of relevance vector machine in pattern recognition of optical fiber pre-warning system[J]. Journal of Tianjin University(Science and Technology),2014,47(12):1115-1120.
[17] WEI X,XU Y,XIAO X. Parameter estimation of voltage flicker based on Hilbert transform and Pisarenko harmonic decomposition[C]. Guilin:International Conference on Energy and Environment Technology,2009:189-192.
[18] ESTRADA E,NAVA P,NAZERAN H,et al. A useful similarity measure between EEG and EOG signals in computeraided classification of sleep stages[C]. Shanghai:IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005:1189-1192.
[19] MUDA L,BEGAM M,ELAMVAZUTHI I. Voice recognition algorithms using Mel frequency cepstral coefficient(MFCC) and dynamic time warping(DTW)techniques[J]. Journal of Computing,2010,2(3):138-143.
[20] 周萍,李晓盼,李杰,等. 混合 MFCC 特征参数应用于语音情感 识别[J]. 计算机测量与控制,2013,21(7):1966-1968. ZHOU P,LI X P,LI J,et al. Speech emotion recognition based on mixed MFCC characteristic parameter[J]. Computer Measurement & Control,2013,21(7):1966-1968.
[21] 田莎莎,唐菀,佘纬. 改进 MFCC 参数在非特定人语音识别中 的研究[J]. 科技通报,2013,29(3):139-146. TIAN S S,TANG W,SHE W. Research of improved MFCC parameters in signer-independent speech recognition[J]. Bulletin of Science and Technology,2013,29(3):139-146.
[22] 张小玫,张雪英,梁五洲. 基于小波 Mel 倒谱系数的抗噪语音 识别[J]. 中国电子科学研究院学报,2008,3(2):187-189. ZHANG X M,LIANG X Y,LIANG W Z. A noise robust speech recognition based on wavelet MFCC[J]. Journal of CAE IT,2008,3(2):187-189.
[23] 包亚萍,郑骏,武晓光. 基于 HMM 和遗传神经网络的语音识 别系统[J]. 计算机工程与科学,2011,33(4):139-144. BAO Y P,ZHENG J,WU W G. Speech recognition based on a hybrid model of hidden Markov Models and the Genetic Algorithm Neural Network[J]. Computer Engineering & Science,2011,33(4):139-144.
[24] 林遂芳,潘永湘,孙旭霞. 基于 HMM 和小波网络模型的抗噪 语音识别方法[J]. 系统仿真学报,2005,17(7):1720-1723. LIN S F,PANG Y X,SUN X X. Noisy speech recogniton based on hybrid model of hidden Markov models and wavelet neural network[J]. Journal of System Simulation,2005,17(7): 1720-1723.
[25] 张西宁,雷威,李兵. 主分量分析和隐马尔科夫模型结合的轴承 监测诊断方法[J]. 西安交通大学学报,2017,51(6):1-7,109. ZHANG X N,LEI W,LI B. Bearing fault detection and diagnosis method based on principal component analysis and hidden Markov model[J]. Journal of Xi'an Jiaotong University, 2017,51(6):1-7,109.
[26] JIANG H M,CHEN J,CAI G M,et al. Integrated HMM-based bearing fault diagnosis[J]. Journal of Vibration and Shock, 2014,33(10):92-96.
[27] GUO G D,LI S Z. Content-based audio classification and retrieval by support vector machines[J]. IEEE Transactions on Neural Networks,2003,14(1):209-215.

相似文献/References:

[1]李刚 王耀忠 郑大海 杨文明 林晓晖 闫会朋 邢海峰.一种光纤管道安全预警系统EAD算法流程 [J].油气储运,2019,38(预出版):1.
 LI Gang,WANG Yaozhong,ZHENG Dahai,et al.An EAD algorithm for pipeline security forewarning system[J].Oil & Gas Storage and Transportation,2019,38(07):1.

备注/Memo

(收稿日期:2017-06-30;修回日期:2019-03-10;编辑:张雪琴)基金项目:国家重点研发计划资助项目“油气管道及储运设施安 全状态监测与防护技术研究”,2016YFC0802103。 作者简介:李刚,男,1984 年生,高级工程师,2009 年硕士毕业于 浙江大学物理学专业,现主要从事油气管道安全监测技术的研究 工作。地址:河北省廊坊市广阳区和平路 23 号中国石油通信公司, 065000。电话:0316-2173903。Email:tx_ligang@cnpc.com.cn

更新日期/Last Update: 2019-06-30