基于Teager算子的柴油机活塞-气缸磨损故障特征增强方法

周 斌 1,2,靳世久 1,梅检民 2,沈虹 2

振动与冲击 ›› 2017, Vol. 36 ›› Issue (15) : 84-89.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (15) : 84-89.
论文

基于Teager算子的柴油机活塞-气缸磨损故障特征增强方法

  • 周  斌 1,2 ,靳世久 1 ,梅检民 2 ,沈虹 2
作者信息 +

Feature Enhancement of Diesel Engine’ Piston-Cylinder Wear-out Fault Based on Teager Energy Operator

  • ZHOU Bin1,2, JIN Shi-jiu1 , MEI Jian-min2 , SHEN Hong2
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文章历史 +

摘要

柴油机活塞与气缸磨损情况是判断柴油机技术状态的主要指标,也是柴油机大修送修的主要条件,其监测诊断一直是柴油机维修的重点。由于但柴油机结构复杂,工作粗暴,活塞-气缸磨损故障很难有效监测诊断,尤其是活塞-气缸早期磨损故障,活塞-气缸磨损状况的更是监测诊断一直是研究的重点和的难点。本文根据活塞-气缸磨损后在工作中产生的冲击的特点特征,利用Teager算子提取瞬态冲击信号的优势,对柴油机怠速时缸体上部左侧振动信号进行Teager算子增强,通过提取出的Teager算子能量最大值,判断是否存在活塞-气缸磨损故障以及故障的严重程度。通过两种不同型号柴油机、不同故障缸的机体振动实测信号分析表明,该方法简便有效。

Abstract

The wear status of piston-cylinder is a main indication of diagnosing technical state of diesel engine and main condition for diesel engine’s overhaul. Diagnosis of piston-cylinder fault, especially which of early wear fault, is difficult because diesel engine’s structure is complicate and working mode is rude, so diagnosis of piston-cylinder fault is the emphasis and difficult point. According to the impulse feature of piston-cylinder’s wear, Teager operator’s advantage of extracting  instantaneous impulse signal is adopted to analyze vibration signal sampled from left-top position of cylinder as diesel engine idling, and extracted maximum of Teager operator energy is used to diagnose the piston-cylinder fault and serious degree. Analyzing results of actual vibration signal of two different type diesel and different fault cylinder show that the method is simple and effective.

关键词

故障诊断 / Teager算子 / 特征增强 / 柴油机

Key words

Fault diagnosis / Teager Energy Operator / Feature enhancement / Diesel engine

引用本文

导出引用
周 斌 1,2,靳世久 1,梅检民 2,沈虹 2. 基于Teager算子的柴油机活塞-气缸磨损故障特征增强方法[J]. 振动与冲击, 2017, 36(15): 84-89
ZHOU Bin1,2, JIN Shi-jiu1,MEI Jian-min2,SHEN Hong2. Feature Enhancement of Diesel Engine’ Piston-Cylinder Wear-out Fault Based on Teager Energy Operator[J]. Journal of Vibration and Shock, 2017, 36(15): 84-89

参考文献

[1] 周  斌,封会娟,杨万成,等.军用车辆维修工程[M].北京:兵器工业出版社,2016.
[2] 沈虹,赵红东,梅检民,等.基于高阶累积量图像特征的柴油机故障诊断研究[J].振动与冲击,2015,34(11):133-138.
SHEN Hong, ZHAO Hong-dong, MEI Jian-min, et al. Diesel engine fault diagnosis based on high-order cumulant image features[J]. Journal of vibration and shock, 2015,34(11):133-138.
[3] 江国和,赵开琦,王志刚,等.基于EMD的Hilbert变换的柴油机气缸套磨损故障诊断[J].上海海事大学学报,2014,35(03):80-84.
JIANG Guo-he, ZHAO Kai-qi, WANG Zhi-gang, et al. Fault diagnosis of diesel engine cylinder liner wear using Hilbert transform based on EMD[J]. Journal of Shanghai Maritime University, 2014,35(03):80-84.
[4] 王凤利,段树林,于洪亮,等.基于EEMD和形态学分形维数的柴油机故障诊断[J].内燃机学报,2012,30(06):557-562.
WANG Feng-li, DUAN Shu-lin, YU Hong-liang, et al. Fault Diagnosis of Diesel Engine Based on EEMD and Morphology Fractal Dimension[J]. Transactions of Csice, 2012,30(06):557-562
[5] 张玲玲,梅检民,贾继德,等.柴油机加速振动信号的阶比双谱特征提取[J].振动与冲击,2013,32(1):154-158.
ZHANG Ling-ling, MEI Jian-min, JIA Ji-de. et al. Feature extraction for accelerating vibration signal of a diesel engine based on order bi-spectrum estimation[J]. Journal of Vibration and Shock,2013,32(1):154-158.
[6] 周  斌,沈玉娣,肖云魁.小波神经网络在柴油机异响故障诊断中的应用[J].振动、测试与诊断,2006,26(03):208-211+247.
ZHOU Bin, SHEN Yu-di, XIAO Yun-kui. Abnormal Sound Fault Diagnosis of Diesel Engine Based on Wavelet Neural Network[J]. Journal of Vibration Measurement & Diagnosis, 2006,26(03):208-211+247.
[7] Kaisers F. On a simple algorithm calculate the energy of a signal[C]. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'90). Albuquerque. IEEE Computer Society,1990.
[8] Bahoum M,Rouat J.Wavelet beech enhancement based on the Teager energy[J]. IEEE Signal Processing Letters,2001,8 (1): 10-12.
[9] 张卫,张雪英,孙颖.EMD结合Teager能量用于语音情感识别[J].科学技术与工程,2013,13(24):7240-7243.
ZHANG Wei, ZHANG Xue-ying, SUN Ying. EMD Combined Teager Energy for Emotional Speech Recognition[J]. Science Technology and Engineering, 2013,13(24):7240-7243.
[10] 杨青乐,梅检民,肖静,等.Teager能量算子增强倒阶次谱提取轴承微弱故障特征[J].振动与冲击,2015,34(6);1-5.
YANG Qing-le, MEI Jian-min, XIAO Jing, et al. Weak fault feature extraction for bearings based on an order cepstrum enhanced with Teager energy operator[J]. Journal of Vibration and Shock,2015,34(6);1-5.
[11] 王天金,冯志鹏,郝如江,等.基于Teager能量算子的滚动轴承故障诊断研究[J].振动与冲击,2012,31(2);1-5.
WANG Tian-jin, FENG Zhi-peng, HAO Ru-jiang, et al. Fault diagnosis of rolling element bearings based on Teager energy operator[J]. Journal of Vibration and Shock, 2012,31(2);1-5.
[12] 梅检民,赵慧敏,陈祥龙,等.Teager算子和极坐标级联增强时频特征算法及轴承微弱故障特征提取[J].振动工程学报,2014,27(1);152-158.
MEI Jian-min, ZHAO Hui-min, CHEN Xiang-long, et al. Cascading enhancement of time-frequency feature based on Teager energy operator and polar diagram and its application of extracting bearing’s weak fault[J]. Journal of Vibration Engineering, 2014,27(1);152-158.
[13] 贾继德.基于交叉小波变换与Teager算子的柴油机燃烧特征增强方法[J].汽车工程,2014,36(02):164-167+163.
JIA Ji-de. Combustion Feature Enhancement in Diesel Engine Based on Cross-wavelet Transform and Teager Energy Operator[J]. Automotive Engineering, 2014,36(02):164-167+163.
[14] 肖云魁.汽车故障诊断学[M].北京:北京理工大学出版社,2001.

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