Abstract
Aiming at the disadvantages of low trend, poor characterization performance, and poor anti-noise performance of traditional degradation features such as dispersion entropy (DE), a fault detection method based on sliding dispersion entropy (SDE) is proposed. Firstly, a sliding window is added to the signal before extracting the DE feature, and the root mean square of the signal inside the sliding window is used to replace the signal in the window to realize down sampling, which enhances the trend of DE. Secondly, the hyperbolic tangent sigmoid function (TANSIG) is introduced to map the signals to different categories when extracting the DE feature, which is more in line with the signal distribution of mechanical parts and the monotonicity of the degradation feature is improved. For noisy signal, the introduction of locally weighted scatterplot smoothing (LOWESS) can remove the burrs and fluctuations of the SDE curve, and the anti-noise performance of SDE is improved. Finally, the SDE state warning line is constructed based on the 2σ criterion, which can determine the fault warning point in time and effectively. The state detection results of bearing and check valve show that the proposed SDE improves the trend, monotonicity, and robustness of the state tracking curve, and provides a new method for fault state detection of mechanical parts.
Highlights
Assuming that the vibration signal of the mechanical part at the k-th (k = 1, 2, · · ·, K ) time point has been collected, the sliding dispersion entropy (SDE) feature of the vibration signal at the current time point can be expressed as SDEk, and its calculation procedures are as follows
In order to verify the effectiveness of the proposed SDE feature and state warning line in the fault state detection of mechanical parts, we first analyzed the degenerate state of the bearing in the laboratory environment and compared the proposed method with single features, fusion features, and traditional entropy features
The results show that it is more difficult to track the operating state of the check valve, and the single feature is only sensitive to a specific degradation stage or a specific fault state
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Diaphragm pump is a kind of transmission power equipment in the metallurgical industry, which provides power for slurry pipeline transmission. The safe operation of the diaphragm pump ensures the supply of mineral raw materials, and improves the production efficiency and the quality of steel products. The poor operating environment, stress, and load will cause damage to the diaphragm pump, which cause significant economic losses [1]. The maintenance of the diaphragm pump is important
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