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中文摘要：
为了分析发电机组振动信号在能量和波形方面的细小变化，从而反映发电机组的早期故障趋势，提出了基于数学形态谱的故障特征量．通过多刻度数学形态学运算，提取振动信号的形态谱，并对形态谱作统计分析，获得了形态谱偏态因子与裕度，其结果能较好地反映振动信号的细微变化．形态谱偏态因子与裕度比传统的振动通频与烈度能更好地反映发电机组的故障发展趋势．
英文摘要：
Fault features based on pattern spectrum were presented for analyzing tiny changes of energy and waveform of generator sets vibration and reflecting the trend of early faults. After extracting the pattern spectrum of the vibration signal with the operation of multiscale mathematical morphology, the pattern spectrum clearance and skewness be obtained by the statistics of the pattern spectrum. Its result can well reflect the tiny changes of vibration signal. The pattern spectrum clearance and skewness can reflect the fault trend of the generator sets better than the traditional vibration amplitude and intensity.
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