Parking equipment mechanical fault prediction method and system based on noise features

Abstract

The invention relates to a parking equipment mechanical fault prediction method and system based on noise characteristics. The method comprises the following steps: collecting a real-time mechanical noise signal of parking equipment; carrying out compressed sensing processing on the real-time mechanical noise signal, and reconstructing to obtain a fault-free mechanical noise signal; performing dual feature extraction of formant frequency feature parameters and Mel frequency cepstrum coefficients on the real-time mechanical noise signals and the fault-free mechanical noise signals; subtracting the sum of the real-time formant frequency characteristic parameter and the real-time Mel frequency cepstral coefficient from the sum of the fault-free formant frequency characteristic parameter and the fault-free Mel frequency cepstral coefficient; and comparing the difference value with a set threshold value for fault prediction. Compared with the prior art, the fault feature information of the real-time mechanical noise signal is reduced by adopting the compressed sensing processing method, the feature parameters of the reduced fault feature information and the feature parameters of the original signal are compared to obtain the feature of the mechanical fault, and the automatic prediction of the mechanical fault of the parking equipment is realized.

Description

technical field [0001] The invention relates to the field of equipment detection, in particular to a method and system for predicting mechanical faults of parking equipment based on noise characteristics. Background technique [0002] Compared with traditional garages, mechanical parking equipment can park more cars in a limited space, improve the utilization rate of land resources, and relieve the pressure between urban planning and environmental development. Cities are actively applying mechanical three-dimensional garages. Over the past ten years, the domestic mechanical parking equipment manufacturing technology has developed rapidly. The vigorous promotion of mechanical parking equipment brings convenience to people. Its failures and accidents also aroused great concern of the society. Although most failures and accidents are caused by human operation and poor equipment management. However, some of the failures and accidents are caused by the design and quality of t...

AI Technical Summary

Problems solved by technology

At present, manual prediction can be used to predict the mechanical failure of parking equipment. For an experienced mechanical engineer, usually by listening carefully to the mechanical noise of the equipment, the location and degree of the failure can be roughly determined, but the reliability and accuracy of manual prediction lower sex

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