Abnormal sound detection method and abnormal sand detection system for automobile seat slide rail

Abstract

The invention discloses an abnormal sound detection method and an abnormal sand detection system for an automobile seat slide rail. The method comprises the following steps: S1, acquiring an originalvibrating signal as a training sample and denoising the original vibrating signal to obtain an effective vibrating signal; S2, extracting characteristic parameters such as a time domain characteristic, a frequency domain characteristic and an envelope characteristic in the effective vibrating signal; S3, inputting the characteristic parameters to a mixed model to train the model to obtain an abnormal sound recognizing module and a mixing matrix corresponding to the abnormal sound recognizing module, wherein the mixing matrix comprises a test accuracy of an abnormal recognizing module; and S4,inputting the to-be-detected original vibrating signal to the corresponding abnormal sound recognizing model, the testing accuracy of which is higher than a preset value, to judge the to-be-detected original vibrating signal automatically. By means of a detection means based on industrial big data and robot learning model, automatic recognition can be achieved, and the method is high in detectionefficiency, excludes manual unstable factors and improves the detection accuracy.

Description

technical field [0001] The invention belongs to the technical field of abnormal sound pattern recognition, and more specifically relates to a method and system for detecting abnormal sound of a slide rail of an automobile seat. Background technique [0002] my country is the world's largest production and sales market for car seat slides. With the advent of industrial automation and intelligent manufacturing technology, most of the production links of car seat slides have been fully automated. [0003] Abnormal sound detection is an indispensable inspection link before the car seat slide rail leaves the factory. At present, the slide rail is still transported to the quiet room separately, and skilled workers slide it on the tooling, and assist with sound level meter and other technologies means to detect abnormal noise. The efficiency of this detection method is low, and abnormal sound detection has become a constraint on the production rhythm of the slide rail; at the same...

AI Technical Summary

Problems solved by technology

[0004] Aiming at at least one defect or improvement requirement of the prior art, the present invention provides a system and method for detecting abnormal sound of car seat slide rails. Low efficiency and high misjudgment rate

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