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《Ship Science and Technology》 2019-14
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Study on fault detection method of hull elastic support shaft

HUANG Hai;ZHANG Jiang-ya;Xinxiang Vocational and Technical College;Hebei College of Science and Technology;  
The fault detection signal of hull elastic support shaft is easily interfered by signal noise, which leads to unsatisfactory fault detection results. A fault detection method of hull elastic support shaft with noise reduction property is designed. According to the mechanical vibration theory, the force under the action of hull strut axial mechanics model, set up a clear relationship between each section stress, acquisition to calculate elastic strut axial detection parameters, to obtain the signal characteristic frequency, time domain average method is used to analyse the signal denoising operation, improve the signal-to-noise ratio, the energy factor related theory is introduced to read after denoising signal in text format in MATLAB,divide a large number of data points, determine the parameters for the power factor value, stable signal EI value between 1.45 to 1.50, highlight the fault characteristic and eventually to extract data point feature signal of reorganizing, obtain the final results. The simulation results show that compared with the traditional method, the signal-to-noise ratio of crack fault signal obtained by this method is 29% higher, and that of wear fault signal is 32% higher, which proves the effectiveness of this method.
【CateGory Index】: U672
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