A method and device for detecting abnormal noise of window motors based on MFCC and SVM
A technology of abnormal noise and detection method, which is applied in the direction of measuring devices, electric devices, and electromagnetic means, etc., can solve the problems that hinder the realization of full automation of window motors, cannot accurately estimate the degree of noise contribution, and cannot distinguish abnormal noise motors, etc. Achieve the effect of realizing fully automatic online detection, reducing sensor installation links, and ensuring acoustic quality
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[0065] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0066] Such as figure 1 As shown, a method for detecting abnormal noise of a window motor based on MFCC and SVM includes the following steps:
[0067] Step 1: Fix the motor and get the sound signal of the motor.
[0068] The motor is positioned through the positioning bolts on the equipment replacement plate and the positioning holes of the motor, and is clamped and fixed by manual clamps. The microphone (model G.R.A.S 46AE) used for motor sound signal collection is installed at 100-110mm directly above the output shaft of the window motor reducer gear. The data acquisition card model (NI PCI 4462) is connected to the industrial computer through the PCI slot of the industrial computer. The sampling rate of motor sound signal collection is 51200, the sampling time is 4.5s, and the data is saved in WAV. format.
[0069] Step 2: Read the collected WAV ...
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