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For the non-stationary characteristics of vibration signal and fuzzy characteristics of feature parameter, a method based on EMD-fractal dimension and FCM is proposed for feature extraction and pattern recognition of diesel engine mechanical fault. Firstly decompose vibration signal by EMD, choose IMFs can reflect fault characteristic information better according to the correlation factor, and compute...
It is common to see difficult feature extraction in heavy-duty vehicles fault diagnosis due to strong interference. Blind signal separation(BSS) technology proves to be effective to extract the principal component out of the multi-sources signals. Therefore, it is used to extract the fault information for heavy-duty vehicle in this paper. A bispectrum of the data after BSS is obtained and scanned...
Singular value decomposition (SVD) can realize denoising without relying on spectral characteristics. It is more useful for small scale denoising. Bispectrum can effectively inhibit the interference of non Gaussian noise, which makes the signal feature extraction convenient. The two methods are combined in this research. In the beginning, the vibration signals of engine crankshaft bearings go through...
For the non-stationary characteristics of diesel vibration signals, a method of connecting rod bearing based on EMD and Gabor transformation is proposed for fault feature extraction. The EMD method was used to decompose engine acceleration vibration signals into multiple empirical mode components > than using Gabor transformation to the first to the fourth correlation IMF. Effective fault features...
Hybrid Photovoltaic/Wind Power Generation System with Storage Bank (HPWS) is a new form of power generation. Starting with a summary of the typical structure, technical characteristic of HPWS, this paper further designs an optimization model of battery storage about charging and discharging, and assigns the minimum fluctuation of power as the optimum objective function, a new concept of initial capacity...
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