大连海事大学学报 >
2017 , Vol. 43 >Issue 3: 78 - 82
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.03.013
基于HHT的柴油机气阀漏气特征参数提取方法
收稿日期: 2017-02-15
修回日期: 2017-04-04
网络出版日期: 2017-04-05
基金资助
国家自然科学基金资助项目(51009112)；国家科技支撑计划课题资助项目(2015BAG16B01).
HHT based method of characteristic parameters extracting of diesel engine valve leakage
Received date: 2017-02-15
Revised date: 2017-04-04
Online published: 2017-04-05
胡磊 , 余永华 , 张舒 , 杨建国 . 基于HHT的柴油机气阀漏气特征参数提取方法[J]. 大连海事大学学报, 2017 , 43(3) : 78 -82 . DOI: 10.16411/j.cnki.issn1006-7736.2017.03.013
Taking WP10.240 diesel engine as study object, the acoustic emission signal of the cylinder head under different valve leakage conditions was measured to select the effective analysis section of the acoustic emission signal, and HHT（Hilbert-Huang Transform）time-frequency analysis method was used to analyze the time frequency energy diagram and time-frequency entropy of non-stationary signals, and then the effective time-frequency characteristics of valve leakage were extracted. Results show that the more serious the leakage of air valve, the more uniform the time frequency energy distribution of HHT. And due to the time-frequency entropy is more sensitive to valve leakage, the time-frequency entropy shows an increasing trend as the extent of valve leakage expands.
［1］张红,赵龙庆,唐送.基于小波包和概率神经网络的气门漏气故障诊断研究［J］.内燃机与动力装置,2014, 31(2):50-53.
ZHANG H，ZHAO L Q，TANG S. Study on diagnosis of valve leakage fault based on wavelet and PNN［J］.Internal Combustion Engine ＆ Powerplant，2014,31(2):50-53. (in Chinese)
［2］LAW L S, KIM J H, LIEW W Y H，et al. An approach to monitoring the thermomechanical behavior of a spindle bearing system using acoustic emission(AE) energy［J］.International Journal of Precision Engineering and Manufacturing,2013,14(7):1169-1175.
［3］余永华，刘强，胡旭钢，等.船用柴油机气阀漏气声发射监测系统研制［J］.船舶工程，2015，37(3)：53-57.
YU Y H，LIU Q，HU X G.Development of valve leakage monitoring system based on acoustic emission technique for marine diesel engines［J］.Ship Engineering，2015，37(3)：53-57.(in Chinese)
［4］KAEWWAEWNOI W，PRATEEPASEN A，KAEWTRAKULPONG P. Investigation of the relationship between internal fluid leakage through a valve and the acoustic emission generated from the leakage［J］.Measurement，2010，43(2):274-282.
［5］赵卫峰.基于时频分析的特征提取与模式分类方法研究［D］.重庆：重庆大学，2016.
ZHAO W F. Research on feature extraction and pattern classification method based on time frequency analysis［D］. Chongqing: Chongqing University, 2016. (in Chinese)
［6］胡甫才,丁怀志,周赛洪,等.船用空压机气阀监测诊断系统研究［J］.船舶力学,2016,20(10):1338-1344.
HU F C, DING H Z, ZHOU S H, et al. Monitoring & diagnosing system of marine air compressor valves［J］.Journal of Ship Mechanics,2016,20(10):1338-1344.(in Chinese)
［7］于德介，程军圣，杨宇.机械故障诊断的Hilbert-Huang变换方法［M］.北京:科学出版社，2006:25-30.
［8］潘长海.声发射监测船用中速柴油机气阀漏气的应用研究［D］.武汉：武汉理工大学，2014.
PANG C H.Research on application of acoustic emission in mornitoring valve leakage of medium-speed marine diesel engine［D］.Wuhan:Wuhan University of Technology,2014.(in Chinese)
［9］张继国，辛格.信息熵—理论与应用［M］.北京：中国水利水电出版社，2012：31-35.
［10］张舒，余永华，胡磊，等.柴油机气阀漏气故障声发射诊断特征参数［J］.内燃机学报，2016，34(4):379-383.
ZHANG S，YU Y H，HU L, et al. Parameter for valve leakage diagnosing fault for diesel engines based on acoustic emission［J］.Transactions of CSICE,2016，34(4):379-383.(in Chinese)
/
| 〈 |
|
〉 |