Feature Extraction Method of IMU Analog Circuit Fault Based on Lifting SVD and EEMD

HE Xing; WANG Hongli; SUN Yuan; JIANG Wei

doi:10.3724/SP.J.1219.2014.00293

Volume 43 Issue 3

Jun. 2014

Turn off MathJax

Article Contents

Abstract

References

INFORMATION AND CONTROL > 2014 > 43(3): 293-299. > DOI: 10.3724/SP.J.1219.2014.00293 CSTR: 32166.14.xk.2014.00293

HE Xing, WANG Hongli, SUN Yuan, JIANG Wei. Feature Extraction Method of IMU Analog Circuit Fault Based on Lifting SVD and EEMD[J]. INFORMATION AND CONTROL, 2014, 43(3): 293-299. DOI: 10.3724/SP.J.1219.2014.00293

Citation:

PDF (1521 KB)

Feature Extraction Method of IMU Analog Circuit Fault Based on Lifting SVD and EEMD

1.
Department of Automation of the Second Artillery Engineering University, Xi'an 710025, China
2.
96374 of PLA, Xining 810000, China

More Information

Received Date: August 26, 2013
Revised Date: March 13, 2014
Published Date: June 19, 2014

Graphical Abstract

Abstract

Abstract

To overcome inaccurate results from fault feature extraction on analog circuits produced by noise and the mode mixing phenomenon of empirical mode decomposition (EMD),a new method for fault feature extraction on analog circuits based on lifting singular value decomposition (LSVD) and ensemble empirical mode decomposition (EEMD) is proposed. First,the noise in analog circuit output signals with random noise under different conditions is removed by LSVD,which eliminates noise effects and strengthens the local signal features. The processed signals are then decomposed by EEMD to extract intrinsic mode functions (IMFs). Finally,the energy entropy of each condition is calculated,which can act as the feature sent to the neural network for fault diagnosis. Simulation results of X-axis servo circuit failure diagnosis of the IMU (inertial measurement unit) show that the fault features extracted by the proposed method can effectively diagnose all faults.
- analog circuit,
- fault feature,
- lifting wavelet transform,
- singular value decomposition,
- ensemble empirical mode decomposition

FullText(HTML)

References (20)

References

[1]	Mohammadia K,Seyyed Mahdavi S J. On improving training time of neural networks in mixed signal circuit fault diagnosis applications[J]. Microelectronics Reliability,2008,48(5):781-793.
[2]	王欣. 基于神经网络的模拟电路故障诊断方法研究与实现[D]. 西安:西安电子科技大学,2007. Wang X. Research and realization of fault diagnosis methods in the analog circuit based on neural network[D]. Xi'an:Xidian University,2007.
[3]	侯青剑,王宏力. 一种基于EMD的模拟电路故障特征提取方法[J]. 系统工程与电子技术,2009,31(6):1525-1528. Hou Q J,Wang H L. A method of fault feature extraction on analog circuit based on EMD[J]. Systems Engineering and Electronics,2009,31(6):1525-1528.
[4]	Huang N E,Zheng S,Steven R L,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society,1998,454:903-995.
[5]	汤宝平,蒋永华,张详春. 基于形态奇异值分解和经验模态分解的滚动轴承故障特征提取方法[J]. 机械工程学报,2010,46(5):37-42. Tang B P,Jiang Y H,Zhang X C. Feature extraction method of rolling bearing fault based on singular value decomposition-morphology filter and empirical mode decomposition[J]. Journal of Mechanical Engineering,2010,46(5):37-42.
[6]	沈路,杨富春,周晓军,等. 基于改进EMD与形态滤波的齿轮故障特征提取[J]. 振动与冲击,2010,29(3):154-157. Shen L,Yang F C,Zhou X J,et al. Extracting of gear fault feature based on improved EMD and morphology filter[J]. Journal of Vibration and Shock,2010,29(3):154-157.
[7]	徐晓刚,徐冠雷,王孝通,等. 经验模式分解(EMD)及其应用[J]. 电子学报,2009,37(3):581-585. Xu X G,Xu G L,Wang X T,et al. Empirical mode decomposition and its application[J]. Acta Electronica Sinica. 2009,37(3):581-585.
[8]	吴虎胜,吕建新,来凌红,等. 基于EMD-SVD模型和SVM滚动轴承故障模式识别[J]. 噪声与振动控制,2011(2):89-93. Wu H S,Lü J X,Lai L H,et al. Fault pattern recognition of rolling bearing based on EMD-SVD model and SVM[J].Noise and Vibration Control,2011(2):89-93.
[9]	Huang N E,Wu M L,Long S R,et al. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis[J]. Proceedings of Royal Society,2003,459:2317-2345.
[10]	Wu Z H,Huang N E. Ensemble empirical mode decomposition:A noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis,2009,1(1):1-41.
[11]	Lei Y G,Zuo M J. Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs[J]. Measurement Science and Technology,2009,20(12):125701(1-12).
[12]	An X L,Jiang D X,Li S H,et al. Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine[J]. Energy,2011,36(9):5508-5520.
[13]	高清清,贾民平. 基于EEMD 的奇异谱熵在旋转机械故障诊断中的应用[J]. 东南大学学报:自然科学版,2011,41(5):998-1001. Gao Q Q,Jia M P. EEMD method based singular value spectral entropy in fault diagnosis of rotating machinery[J]. Journal of Southeast University:Natural Science Edition,2011,41(5):998-1001.
[14]	Lei Y G,He Z J,Zi Y Y. EEMD method and WNN for fault diagnosis of locomotive roller bearings[J]. Expert Systems with Applications,2011,38(6):7334-7341.
[15]	Sweldens W. The lifting scheme:A custom-design construction of biorthogonal wavelets[J]. Applied and Computational Harmonic Analysis,1996,3(2):186-200.
[16]	Sweldens W. The lifting scheme:A construction of second generation wavelets[J]. SIAM Journal on Mathematical Analysis,1997,29(2):511-546.
[17]	Lehtola L,Karsikas M,Koskinen M,et a1.Effects of noise and filtering on SVD-based morphological parameters of the T wave in the ECG[J]. Journal of Medical Engineering & Technology,2008,32(5):400-407.
[18]	Mark B,Jiang D. Noise reduction in multiple-echo data sets using singular value decomposition[J]. Magnetic Resonance Imaging,2006,24(2):849-856.
[19]	孙鑫晖,张令弥,王彤. 基于奇异值分解的频响函数降噪方法[J]. 振动、测试与诊断,2009,29(3):325-328. Sun X H,Zhang L M,Wang T. Denoising noise method of frequency response based on singular value decomposition[J]. Journal of Vibration,Measurement ＆ Diagnosis,2009,29(3):325-328.
[20]	Yang Y,Yu D J,Cheng J S. A rolling fault diagnosis method based on EMD energy entropy and ANN[J]. Journal of Sound and Vibration,2006,294(1/2):269-277.

[1]	ZHAO Di, XU Zhisheng. Detection of Fire Damage to Concrete Structures with Infrared Thermal Fusion Based on Multi-resolution Singular Value Decomposition[J]. INFORMATION AND CONTROL, 2017, 46(1): 19-24, 40. DOI: 10.13976/j.cnki.xk.2017.0019
[2]	LÜ Yongli, JIANG Bin, BAO Jianrong. Efficient Wavelet Image Inpainting Algorithm Based on Pixel Weight Values[J]. INFORMATION AND CONTROL, 2015, 44(1): 104-109. DOI: 10.13976/j.cnki.xk.2015.0104
[3]	JIN Qibing, WANG Yuanfei. Centralized Controller Design Based on Singular Value Decomposition[J]. INFORMATION AND CONTROL, 2014, 43(5): 513-517. DOI: 10.13976/j.cnki.xk.2014.0513
[4]	PANG Bo, SHAO Cheng. PID-type Parameter Optimal Iterative Learning Control Algorithm Based on Singular Value Decomposition[J]. INFORMATION AND CONTROL, 2014, 43(4): 483-489. DOI: 10.13976/j.cnki.xk.2014.0483
[5]	FENG Xia, CHEN Huimin, LI Yong. A Complex Network Community Discovery Method of Symmetric Nonnegative Matrix Factorization Combined with SVD[J]. INFORMATION AND CONTROL, 2013, 42(3): 387-391,400. DOI: 10.3724/SP.J.1219.2013.00387
[6]	QIAN Yuliang, ZHANG Hao, PENG Daogang, XIA Fei. Purifying the Orbit of Generator Unit Based on EMD Modulation and a Particle Swarm Model[J]. INFORMATION AND CONTROL, 2013, 42(2): 243-251. DOI: 10.3724/SP.J.1219.2013.00243
[7]	SUN Jing, YANG Jingyu, FU Desheng. Color Images Watermarking Algorithm Based on Quaternion Frequency Singular Value Decomposition[J]. INFORMATION AND CONTROL, 2011, 40(6): 813-818,828.
[8]	SHI Hong-li, CAI Yuan-li, QIU Zu-lian. A New Approach of Nonlinear System Identification Based on Wavelet Decomposition[J]. INFORMATION AND CONTROL, 2004, 33(5): 554-559.
[9]	YU Huili. SINGULAR VALUE DECOMPOSITION(SVD) AND ITS APPLICATIONS IN TIME SERIES ANALYSIS——ALGORITHMS AND PROBLEMS STUDY[J]. INFORMATION AND CONTROL, 1990, 19(2): 30-38.
[10]	Zhang Hongyue. The Singular Value Decomposition and its Application in Identification and Control[J]. INFORMATION AND CONTROL, 1983, 12(3): 36-41.

Cited By

Get Citation

PDF

XML

Article views (887) PDF downloads (75)

Feature Extraction Method of IMU Analog Circuit Fault Based on Lifting SVD and EEMD

Abstract

References

Related Articles

Catalog

Related

Feature Extraction Method of IMU Analog Circuit Fault Based on Lifting SVD and EEMD

Abstract

References

Related Articles

Catalog

Related

Export File

Citation

Format

Content