|Table of Contents|

Fault diagnosis method based on EEMD residual

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2015年03期
Page:
293-
Research Field:
Publishing date:

Info

Title:
Fault diagnosis method based on EEMD residual
Author(s):
Geng Zhiqiang1Wang Zun1Gu Xiangbai12Lin Xiaoyong1
1.College of Information Science and Technology,Beijing University of Chemical Technology, Beijing 100029,China; 2.Sinopec Engineering(Group)Co.,Ltd.,Beijing 100101,China
Keywords:
ensemble empirical mode decomposition residuals fault diagnosis Bayesian information criterions Hilbert spectral Tennessee Eastman process
PACS:
TP277
DOI:
-
Abstract:
To improve the efficiency of fault diagnosis for chemical processes,a new fault diagnosis method based on ensemble empirical mode decomposition(EEMD)residuals is provided considering the sensitivity of residuals to fault states and the advantages of empirical mode decomposition(EMD)that it need not model and bases on input and output data analysis only.The control limits of the residuals fault diagnosis are defined based on 6σ control charts.EEMD moving windows are determined online by using Bayesian information criterions(BIC)and online real-time data.The EEMD maxium residual changes are calculated based on moving window sampling data,and the time and causes of faults are diagnosed online by combing with corresponding control limits of residual fault diagnosis.Compared with traditional Hilbert spectral analysis methods,the proposed method realizes online fault diagnosis and improves diagnosis accuracy.The effectiveness of the proposed method is verified by Tennessee Eastman(TE)process simulation.

References:

[1] Zhang Xiaoyuan,Zhou Jianzhong.Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines[J].Mechanical Systems and Signal Processing,2013,41(1-2):127-140.
[2]张媛媛.多尺度自适应PCA及其在过程监测中的应用研究[D].北京:北京化工大学信息科学与技术学院,2012.
[3]高英杰,孔祥东,Zhang Qin.基于小波包分析的液压泵状态监测方法[J].机械工程学报,2009,45(8):80-88.
Gao Yingjie,Kong Xiangdong,Zhang Qin.Wavelet packets analysis based method for hydraulic pump condition monitoring[J].Journal of Mechanical Engineering,2009,45(8):80-88.
[4]陈玉东,施颂椒,翁正新.动态系统的故障诊断方法综述[J].化工自动化及仪表,2001,28(3):1-14.
Chen Yudong,Shi Songjiao,Weng Zhengxin.A survey of fault diagnosis methods for dynamic systems[J].Control and Instruments in Chemical Industry,2001,28(3):1-14.
[5]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society A—Mathematical Physical and Engineering Sciences,1998,454(1971):903-995.
[6]Huang N E,Shen Z,Long S R.A new view of nonlinear water waves:The Hilbert spectrum 1[J].Annual Review of Fluid Mechanics,1999,31(1):417-457.
[7]Huang N E,Shen S S.Hilbert-Huang transform and its applications[M].Singapore:World Scientific,2005.
[8]Spanos P D,Giaralis A,Politis N P.Time-frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition[J].Soil Dynamics and Earthquake Engineering,2007,27(7):675-689.
[9]Wu Z,Huang N E.Ensemble empirical mode decomposition:A noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[10]鞠萍华,秦树人,秦毅,等.多分辨EMD方法与频域平均在齿轮早期故障诊断中的研究[J].振动与冲击,2009,28(5):97-101.
Ju Pinghua,Qin Shuren,Qin Yi,et al.Research on earlier fault diagnosis of gear by method of multi-resolution empirical mode decomposition and frequency domain averaging[J].Journal of Vibration and Shock,2009,28(5):97-101.
[11]蔡艳平,李艾华,石林锁,等.EMD端点效应的改进型混沌延拓方法及其在机械故障诊断中的应用[J].振动与冲击,2011,30(11):46-52.
Cai Yanping,Li Aihua,Shi Linsuo,et al.Processing method for end effects of EMD based on improved chaos forecasting model and its application in machinery fault diagnosis[J].Journal of Vibration and Shock,2011,30(11):46-52.
[12]时培明,丁雪娟,李庚,等.一种EMD改进方法及其在旋转机械故障诊断中的应用[J].振动与冲击,2013,32(4):185-190.
Shi Peiming,Ding Xuejuan,Li Geng,et al.An improved method of EMD and its applications in rotating machinery fault diagnosis[J].Journal of Vibration and Shock,2013,32(4):185-190.
[13]Lei Yaguo,He Zhengjia,Zi Yanyang.Application of the EEMD method to rotor fault diagnosis of rotating machinery[J].Mechanical Systems and Signal Processing,2009,23(4):1327-1338.
[14]焦彦军,胡春.基于改进EEMD方法的数字滤波器[J].电力自动化设备,2011,31(11):64-68.
Jiao Yanjun,Hu Chun.Digital filter based on improved EEMD method[J].Electric Power Automation Equipment,2011,31(11):64-68.
[15]Venkatsubramanian V,Rengaswamy R,Yin K,et al.A review of process fault detection and diagnosis Part I:Quantitative model-based methods[J].Computers & Chemical Engineering,2003,27(3):293-311.
[16]彭泽军,陈辉,周定果.质量控制图及其工序质量控制[J].机械设计与制造,2008(8):139-141.
Peng Zejun,Chen Hui,Zhou Dingguo.The quality control chart and process quality control[J].Machinery Design & Manufacture,2008(8):139-141.
[17]Thornhill N F,Oettinger M,Fedenczuk P.Refinery-wide control loop performance assessment[J].Journal of Process Control,1999,9(2):109-124.
[18]Downs J J,Vogel E F.A plant-wide industrial-process control problem[J].Computers & Chemical Engineering,1993,17(3):245-255.
[19]Larsson T,Hestetun K,Hovland E,et al.Self-optimizing control of a large-scale plant:The Tennessee Eastman process[J].Industrial & Engineering Chemistry Research,2001,40(22):4889-4901.
[20]Ricker N L.Tennessee Eastman challenge archive[EB/OL].http://depts.washington.edu/control/LARRY/TE/download.html,2015-06-23.
[21]王婷.面向TE过程的实时优化技术研究[D].北京:北京化工大学信息科学与技术学院,2010.
[22]Mcavoy T J,Ye N.Base control for the Tennessee Eastman problem[J].Computers & Chemical Engineering,1994,18(5):383-413.
[23]Bin Shams M A,Budman H M,Duever T A.Fault detection,identification and diagnosis using CUSUM based PCA[J].Chemical Engineering Science,2011,66(20):4488-4498.

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Last Update: 2015-06-30