Method and device for improving fault characteristic signal, medium and equipment

Abstract

The invention provides a method, a device, a medium and equipment for improving a fault characteristic signal, and the method comprises the steps: building initial Hankel matrixes of different dimensions based on a one-dimensional vibration signal of a rolling bearing through employing a self-determination matrix reconstruction algorithm; obtaining a high-dimensional vibration signal in the target Hankel matrix corresponding to the optimal embedded dimension; decomposing the high-dimensional vibration signal into a stationary-state vibration signal and an initial non-stationary-state vibration signal by using a steady-state subspace algorithm; extracting a target non-stationary state signal based on the kurtosis value of the initial non-stationary state signal; determining a 1.5-dimensional third-order energy spectrum of the target non-stationary state signal; in this way, a steady-state subspace algorithm is utilized to decompose a steady part and a non-steady part of the vibration signal from the high-dimensional vibration signal, and a fault signal is extracted; extracting an optimal target non-stationary state signal based on the kurtosis value; and the 1.5-dimensional third-order energy spectrum of the target non-stationary state signal is determined, so that residual noise in the optimal fault characteristic signal can be suppressed, and the fault characteristic is improved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of marine vessels, and in particular relates to a method, device, medium and equipment for improving fault characteristic signals. Background technique [0002] As a key component of mechanical energy transmission, rolling bearings are frequently used in marine ships and other mechanical equipment. Due to long-term operation, improper use of lubricating oil, and fatigue damage of the bearing itself, the frequency of bearing failure is high. When the rolling bearing fails, the typical feature is the shock, which is most obvious in the vibration signal. However, due to the complex structure of the equipment and many components, when the shock signal starts from the fault source and is transmitted through a complex path, the signal is often weakened to a certain extent. At the same time, there is excitation between other components in the equipment. Due to the interference of noise in the wo...

AI Technical Summary

Problems solved by technology

[0004] In view of the problems existing in the prior art, the embodiment of the present invention provides a method, device, medium and equipment for improving the fault characteristic signal, which is used to solve the...

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