In fact, vector spectrum comprises a' series of analysis methods: fundamental vector spectrum, vector power spectrum, vector spectrum that used to analysis stationary signals, and short time vector spectrum to non-stationary signals.
矢谱分析是针对旋转机械矢量信号的一系列分析方法的总称。 矢谱范畴包括针对平稳信号的矢量谱、矢功率谱、矢量倒谱以及针对非平稳信号的短时矢谱等众多分析方法。
参考来源 - 矢谱分析关键技术与实践研究The thesis discusses several important analysis methods to fault diagnosis: Vector power spectrum and Vector-cepstrum and Vector-Wigner that used to analysis stationary signals,and combines these methods width system model to diagnose faults as well as validates the methods veracity.
本文讨论了在故障诊断中几种有意义的矢谱拓展分析方法：矢功率谱、矢倒谱和针对非平稳信号的矢Wigner分布，并把这些分析方法应用于故障诊断中，用实际信号验证了其诊断准确性。
参考来源 - 基于全信息技术的远程诊断关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Compared with the traditional power spectrum, the vector power spectrum can fuse the power information from different channels, and reflect more comprehensive information.
与传统功率谱相比，矢功率谱融合了多通道的能量信息，反映的信息更全面。
The result shows that, compared with the time-wavelet power spectrum, the scale-wavelet power spectrum has a higher recognition accuracy and smaller dimension of feature vector.
结果表明，尺度-小波能量谱和时间-小波能量谱相比有较好的分类效果和较低的特征维数。
A new method based on Support Vector Data Description (SVDD) was presented to identify and locate line-spectrum power increase acoustic fault source of system.
本文以线谱增强类声学故障为研究对象，提出了一种基于支持向量数据描述(SVDD)的故障源识别定位方法。
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