柴油机动态征兆提纯与多参数实用诊断策略  

Discussions On Purification of The Engine's Dynamical Signatures And Diagnozing Strategy

作　　者：耿遵敏[1] 于涛[2] 李兆前[2] 宋孔杰[2] 

机构地区：[1]山东工业大学力学研究室,济南市250061 [2]山东工业大学,济南市250061

出　　处：《中国机械工程》1997年第5期81-85,共5页China Mechanical Engineering

基　　金：国家自然科学基金!59575023

摘　　要：提出并应用加速优化FIR多带保相滤波，AR－PWVD时频分布等适于某油机非平稳瞬变振声等动态过程的征兆提纯方法；在此基础上，结合对190系列柴油机运行机理分析建立能完整体现机器状态征兆的动态参数对应关系及诊断框架；为解决相互影响变化的多年数特征判别问题，提出基于灰色关联空间的递归优化多参数特征判别与决策方法。In order to apply dynamical diag-nozing techniques to diesel engines, some deep-going discussions on the practical research ap-proach and strategy are given in this paper onthe basis of understanding and analyzing aboutthe national and international developing situa-tion on this subject. Connected with the authers'research work on the 190 series diesel engines'vibroacoustic diagnozing, some useful purifyingmethods on the engine's nonstationary vibroa-coustical signatures are discussed, such as theaccelerated Chebyshev optimum FIR multi -bands phase - keeping filtering design for thecombustional impulse's purification, the AR -Pseudo - Wigner - Ville - Distribution (AR -PWVD) for the whole working - processe's sig-natures purification. On this basis, a practicaldiagnostic system frame and an alternative -op-timum multi - parameter signatures' classifica-tion and diagnozing strategy based upon the grey-related spaces are discussed. All that makes afirm base for further research on the intelligentdiagnosis and expert - system design.

关 键 词：柴油机 故障诊断 信号处理 灰色系统 

分 类 号：TK427[动力工程及工程热物理—动力机械及工程] TK428