Fault Diagnosis Method of Instantaneous Angular Speed Based on EEMD and Polar Representation

Abstract

Abstract: In order to extract the time domain characteristic parameters and guarantee the diagnosis accuracy in high speed V-engine with high number of cylinders, the fault diagnosis method of IAS was studied by taking V12 diesel engine with unequal firing angel as object based on EEMD and polar representation. Results show that intrinsic mode function 6 (IMF6) has a main frequency component of 8.3Hz (0.5 harmonic order). The 0.5 harmonic order components are extracted effectively by EEMD and its amplitude may be used as an characteristic value of misfire faults. The misfire cylinder may be located accurately through the combination of polar representation, 0.5 harmonic order phases and its change rules.

Key words: ensemble empirical mode decomposition(EEMD), instantaneous angular speed(IAS), single cylinder misfire, polar representation, fault location

摘要： 为解决瞬时转速方法在诊断多缸中高速V型机发生失火故障时，存在的特征参数难以提取、诊断精度不高等问题，以发火间隔角不均匀的某V12柴油机为对象，进行了基于集总经验模态分解（EEMD）和极坐标表示的诊断方法研究。结果表明：构成本征模态函数IMF6分量的主频率为8.3Hz（0.5谐次），经过EEMD分解提取了0.5谐次成分，其幅值可作为判别单缸失火故障的特征值；将0.5谐次相位及其变化规律与极坐标表示结合，能够直观准确地定位故障。

关键词: 集总经验模态分解, 瞬时转速, 单缸失火, 极坐标表示, 故障定位

CLC Number:

TK428

WANG Shuai1，2;XIANG Yang1，2;WANG Lei1，2. Fault Diagnosis Method of Instantaneous Angular Speed Based on EEMD and Polar Representation[J]. China Mechanical Engineering.

王帅1,2;向阳1,2;王磊1,2. 基于集总经验模态分解和极坐标表示的瞬时转速诊断方法[J]. 中国机械工程.

References

[1] RMOND D，ANTONI J，RANDALL R B. Instantaneous Angular Speed (IAS) Processing and Related Angular Applications[J]. Mechanical Systems and Signal Processing，2014，45(1)：24-27.
[2]马晋，江志农，高金吉. 基于瞬时转速波动率的内燃机故障诊断方法研究[J]. 振动与冲击，2012，31（13）：119-124.
MA Jin，JIANG Zhinong，GAO Jinji. Diesel Engine Fault Diagnosis Method Based on Instantaneous Angular Speed Fluctuation Ratio[J]. Journal of Vibration and Shock，2012，31（13）：119-124.
[3]ESPADATOR F J J，VILLANUEVA J A B，GUERRERO D P. Measurement and Analysis of Instantaneous Torque and Angular Velocity Variations of a Low Speed Diesel Engine[J]. Mechanical Systems and Signal Processing，2014，49(1/2)：135-153.
[4]SCOTT X C. Model-based Engine Diagnostics and Controls Utilizing Crank Shaft Speed Measurements[D]. Madison:University of Wisconsin-Madison，1997.
[5]华春蓉，闫兵，董大伟，等. 基于0.5谐次扭振的内燃机故障诊断研究[J]. 机械强度，2006，28（4）：480-484.
HUA Chunrong，YAN Bing，DONG Dawei，et al. Study on Fault Diagnosis of Internal Combustion Engine Based on 0.5 Order Torsional Vibration[J]. Journal of Mechanical Strength，2006，28（4）：480-484.
[6]孙云岭，朴甲哲，张永祥. Wigner-Ville时频分布在内燃机故障诊断中的应用[J]. 中国机械工程，2004，15(6)：505-507.
SUN Yunling，PIAO Jiazhe，ZHANG Yongxiang. Applications of Wigner-Ville Time-frequency Distribution in Internal Combustion Engine(ICE) Fault Diagnosis[J]. China Mechanical Engineering，2004，15(6)：505-507.
[7]刘小峰，柏林，秦树人. 基于瞬时转速的变窗STFT变换[J]. 振动与冲击，2010，29(4)：27-29.
LIU Xiaofeng，BO Lin，QIN Shuren. The STFT of instantaneous Angular Speed[J]. Journal of Sound and Vibration，2010，29(4)：27-29.
[8]MATTEO M，NICOLO S. Multiple Misfire Identification by a Wavelet-based Analysis of Crankshaft Speed Fluctuation[C]// IEEE International Symposium on Signal Processing and Information Technology. Vancouver, 2006：145-148.
[9]胡杰，颜伏伍. 基于EMD和HHT的内燃机瞬时转速信号分析[J]. 车用发动机，2010 (3)：15-19.
HU Jie，YAN Fuwu. Analysis of ICE Instantaneous Speed Signal Based on EMD and HHT[J]. Vehicle Engine，2010 (3)：15-19.
[10]高强，马志义，刘本超，等. 经验模式分解在发动机故障特征提取中的应用[J]. 长安大学学报，2010，30（3）：83-86.
GAO Qiang，MA Zhiyi，LIU Benchao，et al. Application of Empirical Mode Decomposition on Engine Fault Feature Extraction[J]. Journal of Chang'an University(Natural Science Edition)，2010，30（3）：83-86.
[11]肖小勇，向阳，钱思冲，等. 多谐次相位法在柴油机故障诊断上的应用[J]. 哈尔滨工程大学学报，2014，35(8)：954-960.
XIAO Xiaoyong，XIANG Yang，QIAN Sichong，et al. The Application of the Multi-harmonic Phase Method to Fault Diagnosis of Diesel Engines[J]. Journal of Harbin Engineering University，2014，35(8)：945-960.
[12]CHARLES P，SINHA J K，GU F，et al. Detecting the Crankshaft Torsional Vibration of Diesel Engines for Combustion Related Diagnosis[J]. Journal of Sound and Vibration，2009，321(3/5)：1171-1185.
[13]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 London A：Mathematical Physical & Engineering Sciences，1998，454A：903-908.
[14]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.
[15]ANDR H，GIRARDIN F，BOURDON A，et al. Precision of the IAS Monitoring System Based on the Elapsed Time Method in the Spectral Domain[J]. Mechanical Systems and Signal Processing，2014，44(1/2):14-30.