传统的倒频谱技术处理信号提取特征是基于单通道数据以及其本身计算需要经过两次傅里叶变换的局限性,获得的频谱特征不足以完全反映设备运行状态,同时还会造成谱线泄露严重,分辨率低等问题,基于此,提出一种新的思路:将全矢谱,最大熵谱与倒频谱理论相结合提出全矢最大熵倒谱新方法,新方法以全矢谱为基础,对全矢最大熵功率谱进行傅里叶变化得到.给出基本理论及计算公式,并通过实验处理故障信号与常规倒频谱进行对比.结果验证了新方法的有效性,且相比传统倒频谱具有更高的分辨率.
The traditional cepstrum technique for signal feature extraction is based on single channel data and its own needs two times of Fourier transform, which spectral features are not sufficient to fuUy reflect the operation status of equipment, at the same time spectrum leakage is serious and has low resolution, and it puts forward a new idea." to put forward a new method of full vector maximum entropy cepstrum combining the full vector spectrum, the maximum entropy spectrum and cepstrum, and the new method is based on full vector spectrum, then transforms the full vector maximum entropy power spectrum by Fourier. It gives the basic theory and formula, then, through experiments and the fault signal processing, compares with conventional cepstrum. The result verifies the effectiveness of the new method, and comparing with the traditional cepstrum has higher resolution.