冲击引起的振动与波是舰船破坏的主要原因之一。
One of the main reasons for destroy of marine equipment is the vibration and wave caused by shock .
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
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