摘要
提出了基于分形关联维数的柴油机声音信号特征分析方法,通过主分量分析法证明了柴油机声音信号具有分形特征。根据G-P算法,阐述了柴油机声音信号关联维数的计算方法,并对计算过程中噪声对关联维数的影响进行了详细的论述。计算结果表明,柴油机声音信号关联维数随工作状况改变有明显的变化,可作为柴油机工作状态监测和故障诊断的一个特征量。
A method based on the fractal correlation dimension was proposed to study the characteristics of voice signals of diesel engine.It was proved that diesel engine voice signals have an obvious fractal characteristic by primary component analysis method.According to the G-P computational method,the calculation of the correlation dimension of diesel engine voice signals was conducted,and then the influence of noise on the calculation of correlation dimension in this calculation process was discussed.The results show that the correlation dimension of diesel engine voice signals varies with the change of engine operating conditions,and it can be used as a characteristic parameter in diesel engine monitoring and fault diagnosis.
出处
《内燃机》
2011年第1期56-59,共4页
Internal Combustion Engines
关键词
柴油机
声音信号
关联维数
特征分析
diesel engine
voice signal
correlation dimension
characteristics analysis
