车用发动机
車用髮動機
차용발동궤
2014年
3期
59-65
,共7页
刘建敏%李晓磊%乔新勇%李春日%郭巍
劉建敏%李曉磊%喬新勇%李春日%郭巍
류건민%리효뢰%교신용%리춘일%곽외
柴油机%燃烧激励%振动%瞬态动力学
柴油機%燃燒激勵%振動%瞬態動力學
시유궤%연소격려%진동%순태동역학
diesel engine%combustion excitation%ibration%transient dynamics
以某12150柴油机缸盖为研究对象,采用直接积分法进行了缸内燃烧激励的瞬态动力学计算;通过理论分析和试验数据对比,揭示了振动位移、振动速度、振动加速度与缸内燃烧特征参数的对应关系,并研究了转速变化对缸内燃烧激励振动响应的影响。结果表明:缸盖表面振动位移能够反映缸内压力的变化趋势;振动速度能够反映缸内压力升高率的变化趋势;振动加速度信号能够反映缸内压力升高加速度的变化趋势;并且当转速发生变化时,三者对应关系表现出了良好的稳定性。利用振动位移信号建立了基于AdaBoost_BP集成神经网络的缸内压力识别模型,经验证,模型能够准确识别柴油机缸内燃烧故障,具有良好泛化性和精确度。
以某12150柴油機缸蓋為研究對象,採用直接積分法進行瞭缸內燃燒激勵的瞬態動力學計算;通過理論分析和試驗數據對比,揭示瞭振動位移、振動速度、振動加速度與缸內燃燒特徵參數的對應關繫,併研究瞭轉速變化對缸內燃燒激勵振動響應的影響。結果錶明:缸蓋錶麵振動位移能夠反映缸內壓力的變化趨勢;振動速度能夠反映缸內壓力升高率的變化趨勢;振動加速度信號能夠反映缸內壓力升高加速度的變化趨勢;併且噹轉速髮生變化時,三者對應關繫錶現齣瞭良好的穩定性。利用振動位移信號建立瞭基于AdaBoost_BP集成神經網絡的缸內壓力識彆模型,經驗證,模型能夠準確識彆柴油機缸內燃燒故障,具有良好汎化性和精確度。
이모12150시유궤항개위연구대상,채용직접적분법진행료항내연소격려적순태동역학계산;통과이론분석화시험수거대비,게시료진동위이、진동속도、진동가속도여항내연소특정삼수적대응관계,병연구료전속변화대항내연소격려진동향응적영향。결과표명:항개표면진동위이능구반영항내압력적변화추세;진동속도능구반영항내압력승고솔적변화추세;진동가속도신호능구반영항내압력승고가속도적변화추세;병차당전속발생변화시,삼자대응관계표현출료량호적은정성。이용진동위이신호건립료기우AdaBoost_BP집성신경망락적항내압력식별모형,경험증,모형능구준학식별시유궤항내연소고장,구유량호범화성화정학도。
For the cylinder head of 12150 diesel engine ,the transient dynamic calculation of in-cylinder combustion excitation was carried out with the direct integral method .By comparing theory analysis with test data ,the correlations of vibration dis-placement ,vibration velocity and vibration acceleration with combustion parameters were disclosed and the influence of speed variation on vibration response of in-cylinder combustion excitation was researched .The results show that the vibration dis-placement of cylinder head ,the vibration velocity and the vibration acceleration signal can reflect the trend of cylinder pressure , the pressure rise rate and the pressure rise acceleration respectively .When speed changes ,the corresponding correlations of the three parameters can still keep good stability .The cylinder pressure recognition model established based on AdaBoost_BP inte-grated neural networks with vibration displacement signal can identify the combustion faults of diesel engine accurately and has good generalization and accuracy .