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Acoustic fault diagnosis system based on Internet of Things

A fault diagnosis system and Internet of Things technology, applied in the direction of measuring ultrasonic/sonic/infrasonic waves, measuring devices, instruments, etc., can solve problems such as being in an abnormal state, and achieve a highly practical effect

Pending Publication Date: 2022-02-11
武汉声与声科技合伙企业(有限合伙)
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an acoustic fault diagnosis system based on the Internet of Things to solve the problem of being able to judge whether the equipment is in an abnormal state under the condition of few fault samples proposed in the above-mentioned background technology

Method used

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] see Figure 1-2 , the present invention provides a technical solution for an acoustic fault diagnosis system based on the Internet of Things:

[0030] according to Figure 1-2 As shown, the acoustic fault diagnosis system includes fault database, normal background sound database, fault signal AI separation model and signal acquisition and detection equipment, among which:

[0031] Fault database: contains existing fault sound signals, and can memorize...

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Abstract

The invention discloses an acoustic fault diagnosis system based on Internet of Things, the acoustic fault diagnosis system comprises a fault database, a normal background sound database, a fault signal AI separation model and signal acquisition and detection equipment, and the fault database comprises existing fault sound signals and can memorize the existing fault sound signals; the normal background sound database comprises existing normal background sound signals; the fault signal AI separation model carries out model construction according to existing faults and normal signals; and the signal acquisition and detection equipment is used for acquiring normal operation sound signals of equipment. According to the invention, blind separation is carried out by taking a normal signal as an extraction object, fine tuning is carried out on an implementation site to obtain a customized model for extracting the normal signal of the site, and similarity analysis is carried out on the residual signal after the normal signal is extracted; and if the signals have similarity or periodicity in the time domain, it is judged that the signals are abnormal.

Description

technical field [0001] The invention relates to a fault diagnosis system, in particular to an acoustic fault diagnosis system based on the Internet of Things, and belongs to the technical field of acoustic diagnosis. Background technique [0002] Using various inspection and testing methods, the process of finding out whether there is a fault in the system and equipment is fault diagnosis; and the process of further determining the approximate location of the fault is fault location. Fault diagnosis and fault location both belong to the category of network survivability, and the fault location is required The process of replacing the product level when repairing is called fault isolation, and fault diagnosis refers to the process of fault detection and fault isolation. [0003] Acoustic fault diagnosis is a brand-new diagnostic system. The existing fault diagnosis model based on acoustic signals mainly judges whether the equipment has faults by comparing the collected acoust...

Claims

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Application Information

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IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 章林柯杜旭浩余永生
Owner 武汉声与声科技合伙企业(有限合伙)
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