Fault detecting device of near field acoustic holography sound image mode identification and detecting method thereof

Abstract

The invention discloses a fault detecting device of near field acoustic holography sound image mode identification and a detecting method thereof in the field of industrial detection. The device comprises a microphone array, a scanner frame, a reference source, a clamped rib plate, an excitation source and a data acquiring system. The invention adopts sound pressure amplitude and distribution changes under mechanical normal and fault states, borrows ideas from applications of an image diagnosis technology in other fields and utilizes image processing, feature extracting and mode identifying technologies to process a near field acoustic holography image. Experiments show that the method is effective, vibration source positioning and identifying functions coordinated with the holographic imaging technology is proven, the image feather extracting and mode identifying technologies are combined with the acoustic imaging technology, thus broadening the application range of the acoustic imaging technology and bringing a set of effective acoustic fault diagnosis technologies and feasibility of being widely used in engineering thereof.

Description

technical field [0001] The present invention relates to a device and method in the technical field of industrial detection, in particular to a near-field acoustic holographic audio-image pattern recognition fault detection device and a detection method thereof. Background technique [0002] Fault diagnosis technology based on vibration signal has limitations in some occasions, while mechanical noise contains rich machine state information, has the advantage of non-contact measurement, and can partially replace vibration signal as a means of fault diagnosis. The technology of using noise signal for fault diagnosis is called acoustic diagnosis technology. Perfect acoustic diagnosis technology requires not only the ability to effectively identify the location of the sound source, but also to be able to perform spectrum analysis. Traditional sound source identification methods mainly include subjective evaluation method, partial operation method, surface strength method, near-f...

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Problems solved by technology

[0003] As a sound source identification algorithm, near-field acoustic holography has obvious advantages, but there are few literature reports on its direct use in fault diagnosis

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