利用模式识别技术提高燃烧激励响应信号信噪比

摘要/Abstract

摘要：

摘要：针对实测缸盖表面振动信号中的耦合低频干扰信号，提出了在内燃机曲轴转角域建立往复惯性力激励响应信号模型的方法，利用模式识别技术辨识模型参数，剔除往复惯性力激励的影响，以提高燃烧激励响应信号的信噪比，并利用195型单缸柴油机的测试结果对所提出的方法进行验证.结果表明：选用压缩过程初期的数据进行模型参数辨识、采用4阶模型描述往复惯性力激励响应信号可以获得较为理想的效果；而瞬时转速波动对模型参数辨识的影响不显著；采用模式识别技术剔除往复惯性力激励响应信号后,实测的振动速度信号与压力升高率信号在峰值压力前后角度域内的相关性明显提高，从而验证了所提出方法的有效性.

关键词: , 内燃机, 表面振动信号, 往复惯性力, 模式识别方法, 信噪比, 相关性

Abstract:

Abstract： A model was established to describe the response signal excited by reciprocating inertia force. The parameters of the model were identified by the pattern recognition method. The processing results of the experiment data from a 195 diesel engine indicate that the influence of the instantaneous speed could be ignored. A fourthorder model is appropriate to describe the response signal and the data of early stage in compression stroke is suitable for identifying the model parameters. The trend of the processed internal combustion engine vibration velocity remains consistent with that of the pressure rise rate and the correlation between them is improved, which verifies the proposed method.

Key words: signal to noise ratio, correlation, internal combustion engine, surface vibration signal, reciprocating inertia force, pattern recognition method

中图分类号:

TK 43

赵秀亮，程勇，王丽梅. 利用模式识别技术提高燃烧激励响应信号信噪比[J]. 上海交通大学学报（自然版）, 2015, 49(05): 637-643.

ZHAO Xiuliang,CHENG Yong,WANG Limei. Improvement of SNR of Vibration Response Signal Excited by In-Cylinder Pressure Using Pattern Recognition Method[J]. Journal of Shanghai Jiaotong University, 2015, 49(05): 637-643.

参考文献

［1］Xu H, Yuan S, Zong L. Analysis of the timefrequency characteristics of internal combustion engine vibration signal based on HilbertHuang transform［C］∥2010 3rd International Congress on Image and Signal Processing. Yantai: IEEE, 2010: 34003404.

［2］唐娟. 基于振动信号评价柴油机缸内燃烧状态的研究［D］. 济南: 山东大学能源与动力工程学院, 2010.

［3］黄敏莉. 基于振动信号识别缸内压力的研究［D］. 济南: 山东大学能源与动力工程学院, 2012.

［4］纪少波, 程勇, 黄敏莉，等. 缸盖振动位移与缸内压力相关性分析［J］. 内燃机工程, 2013, 34(2): 4851.

JI Shaobo, CHENG Yong, HUANG Minli, et al. Study on relationship between cylinder head vibration displacement and cylinder pressure［J］. Chinese Internal Combustion Engine Engineering, 2013, 34(2): 4851.

［5］纪少波, 程勇, 唐娟，等. 缸盖振动加速度信号与燃烧过程时域相关性分析［J］. 内燃机工程, 2010, 31(3): 7175.

JI Shaobo, CHENG Yong, TANG Juan, et al. Timedomain analysis of relationship between engine cylinder head vibration acceleration and combustion process［J］. Chinese Internal Combustion Engine Engineering, 2010, 31(3): 7175.

［6］唐娟, 程勇, 纪少波，等. 柴油机燃烧过程和缸盖振动信号关系模拟分析［J］. 内燃机学报, 2010, 28(5): 441446.

TANG Juan, CHENG Yong, JI Shaobo, et al. Correlations between vibration and combustion excitation of diesel engines［J］. Transactions of CSICE, 2010, 28(5): 441446.

［7］Massey J A. Indication of cylinder pressure rise rate by means of vibration and acoustic emissions of an internal combustion engine［D］. USA: Missouri University of Science and Technology, 2008.

［8］杨连生. 内燃机设计［M］. 北京: 中国农业机械出版社, 1981: 5977.

［9］Goodwin G C, Sin K S.自适应滤波、预测与控制［M］. 张永光, 洪惠民, 刘峰译. 北京: 科学出版社, 1992.

[1]	全大英, 陈赟, 唐泽雨, 李世通, 汪晓锋, 金小萍. 基于双通道卷积神经网络的雷达信号识别[J]. 上海交通大学学报, 2022, 56(7): 877-885.
[2]	王聚团, 戚晓宁, 黄志明. 水下生产管汇测试技术及其改进研究[J]. 海洋工程装备与技术, 2022, 9(2): 43-49.
[3]	袁振钦, 邹科, 孙亚峰, 刘刚, 屈衍, 李居跃. 基于时域分析法的动态电缆疲劳分析[J]. 海洋工程装备与技术, 2022, 9(2): 50-55.
[4]	王娟, 杨明旺, 郑茂尧, 刘凌云, 赵立君. 高强钢在大型半潜式平台组块建造中的应用[J]. 海洋工程装备与技术, 2022, 9(1): 27-31.
[5]	陈欣, 赵晓磊, 王立坤, 肖德明, 张腾月. 深水大型吸力锚建造技术研究[J]. 海洋工程装备与技术, 2022, 9(1): 32-36.
[6]	尹彦坤, 易涤非. 半潜式生产平台船体结构关键节点工程临界评估[J]. 海洋工程装备与技术, 2022, 9(1): 52-57.
[7]	杨志远, 赵建民, 程中华, 郭驰名, 李俐莹. 多元退化系统维修与备件订购策略优化模型[J]. 上海交通大学学报, 2021, 55(7): 858-867.
[8]	ZHANG Shengfa (张胜发), TANG Na (唐纳), SHEN Guofeng (沈国峰), WANG Han (王悍), QIAO Shan (乔杉). Universal Software Architecture of Magnetic Resonance-Guided Focused Ultrasound Surgery System and Experimental Study[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 471-481.
[9]	MA Qunsheng (马群圣), CEN Xingxing (岑星星), YUAN Junyi (袁骏毅), HOU Xumin (侯旭敏). Word Embedding Bootstrapped Deep Active Learning Method to Information Extraction on Chinese Electronic Medical Record[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 494-502.
[10]	安庆升, 孙立东, 武秋生. 碳纤维增强复合材料发射筒设计研究[J]. 空天防御, 2021, 4(2): 13-.
[11]	KONG Xiangqiang (孔祥强), MENG Xiangxi (孟祥熙), LI Jianbo (李见波), SHANG Yanping (尚燕平), CUI Fulin (崔福林) . Comparative Study on Two-Stage Absorption Refrigeration Systems with Different Working Pairs[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 155-162.
[12]	ZHUANG Weimin (庄蔚敏), WANG Pengyue (王鹏跃), AO Wenhong (熬文宏), CHEN Gang (陈刚) . Experiment and Simulation of Impact Response of Woven CFRP Laminates with Different Stacking Angles[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 218-230.
[13]	ZHOU Xuhui (周旭辉), ZHANG Wenguang (张文光), XIE Jie (谢颉). Effects of Micro-Milling and Laser Engraving on Processing Quality and Implantation Mechanics of PEG-Dexamethasone Coated Neural Probe[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 1-9.
[14]	HUANG Ningning (黄宁宁), MA Yixin (马艺馨), ZHANG Mingzhu (张明珠), GE Hao (葛浩), WU Huawei (吴华伟). Finite Element Modeling of Human Thorax Based on MRI Images for EIT Image Reconstruction[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 33-39.
[15]	WANG Xianjin, GAO Xu, YU Kuigang . Fixture Locating Modelling and Optimization Research of Aluminum Alloy Sidewall in a High-Speed Train Body[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 706-713.