Detection system and method for abnormal sound of device

Abstract

The invention discloses a detection system and method for abnormal sound of a device. The system comprises a sound collection module, a sound conversion module, a sound analysis module and an abnormalsound early warning module which are sequentially connected, the sound collection module is used for collection of the operation sound when a device is electrified, the sound conversion module is used for converting the collected sound to a spectrogram and a noise decibel value, the sound analysis module is used for comparing the spectrogram of the collected sound and a normal frequency spectrumand comparing the decibel value of the collected sound and the noise decibel, and the abnormal sound early warning module is used for emitting alarm signals. The system detects different-dimension indexes of the device to ensure the detection accuracy.

Description

Technical field [0001] The invention relates to the technical field of equipment detection, in particular to an equipment abnormal noise detection system and a detection method. Background technique [0002] In the traditional equipment manufacturing field, the abnormal noise detection of equipment on the production line basically uses human judgment. The human ear is not sensitive to uniform noise, but is very sensitive to irregular messy noise, and even some subtle noises can be felt. Although the human ear is an extremely delicate organ, this method is affected by many subjective factors. At the same time, in a long-term testing environment, the human ear is prone to auditory fatigue, which often affects the accuracy of the detection. Moreover, on the equipment production line, a considerable part of the equipment that has passed the test of the traditional noise tester is unanimously judged as abnormal noise. The reason is that the technical means of the traditional instrume...

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Problems solved by technology

Although the human ear is an extremely precise organ, this method is affected by many subjective factors. At the same time, in a long-term detection environment, the human ear is prone to auditory fatigue, which often affects the accuracy of detection.

Moreover, on the equipment production line, a considerable part of the equipment that has passed the test of the traditional noise tester is artificially judged as abnormal noise. The reason is that the technical means of the traditional instrument are too simple and the detection index is single.

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