A mechanical equipment fault automatic identification method based on acoustic image monitoring

Abstract

The invention provides a mechanical equipment fault automatic identification method based on acoustic image monitoring. According to the method, a line spectrum identification library and a fault acoustic image identification library are respectively established under the condition of continuous, normal and stable operation of mechanical equipment; the line spectrum of noise signals of the mechanical equipment acquired by a sound imaging instrument in real time is identified in the line spectrum identification library; if the identification is successful, a line spectrum failure index is outputted; otherwise, the line spectrum is determined to be an abnormal line spectrum; and an acoustic image of the abnormal line spectrum is calculated and identified in the fault acoustic image identification library; if the identification is successful, an acoustic image composite fault index and an equipment fault plan are output; otherwise, the equipment fault plan corresponding to the abnormal line spectrum is diagnosed; the abnormal line spectrum, the acoustic image of abnormal line spectrum and its corresponding mechanical equipment fault plan are added to the fault acoustic image identification library. After adoption of the method of the present invention, an acoustic imaging fault detection system can be used in any complex sound field, and can continuously realize automatic alarm and fault prompting functions.

Description

technical field [0001] The invention belongs to the technical field of microphone array measurement, in particular, the invention relates to an automatic fault identification method of mechanical equipment based on sound image monitoring. Background technique [0002] Panometer, also known as acoustic camera, is a special device that uses a microphone array to measure the sound field distribution within a certain range. Imaging measurements. [0003] Acoustic imaging (acoustic imaging) is based on the microphone array measurement technology. By measuring the phase difference of the sound wave arriving at each microphone in a certain space, the position of the sound source is determined according to the principle of phased array, and the amplitude of the sound source is measured. The way to display the distribution of sound sources in space is to obtain the spatial sound field distribution nephogram-acoustic image, in which the color and brightness of the image represent the...

AI Technical Summary

Problems solved by technology

However, the current acoustic imaging measurement system cannot fully realize the automatic identification of various acoustic faults. The main reason is that the causes of acoustic faults of different mechanical equipment vary widely, and automatic identification of faults is a technical problem.

At present, the acoustic imaging fault detection system does not have the function of automatically identifying faults, and requires manual long-term on-duty, which affects the popularization and application of the acoustic imaging fault detection system

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