摘要
提出了一种基于小波分析和神经网络技术检测发动机气缸 气密性能的新方法。对电涡流位移传感器拾取的飞轮位移信号直接进行时域采样，通过处理 和小波分析，获得反映发动机启动瞬时转速尺度参数，BP神经网络以此作为输入向量，从而 有效地检测发动机气缸气密性能。
A unique technique has been developed for monitoring the airtight performance of diesels by wavelet-transform of flywheel speed fluctua tions and neural networks.The speed fluctuation signal is simply measured with an eddy displaceing sensor opposite the fly wheel gear teeth.The scale feature i s got by analysing the software and the wavelet-transform which can be use d in monitoring the airtight performance of the diesel validly by inputing vecto r of BP neural works.
出处
《军械工程学院学报》
2000年第2期-,共4页
Journal of Ordnance Engineering College
关键词
发动机
故障诊断
神经网络
小波分析
瞬时转速
diesel engine
faults diagnosis
neural networks
wavelet ana lysis
instantaneous speed
