Sound anomaly detection system based on deep learning
A technology of abnormal sound and detection system, which is applied in the direction of measuring device, measuring ultrasonic/sonic wave/infrasonic wave, instrument, etc. It can solve the problems of abnormal sound and unable to remind the degree of abnormal sound
Inactive Publication Date: 2019-09-10
XIAN UNIV OF POSTS & TELECOMM
View PDF9 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0002] When the existing abnormal sound is detected, when the personnel often hear the abnormal sound, they can only find that the sound is abnormal, and cannot give a corresponding reminder to the degree of the abnormal sound. Therefore, we propose a sound abnormal detection based on deep learning system
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0015] 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.
[0016] refer to figure 1 , a sound anomaly detection system based on deep learning, comprising a sound collection module, the output end of the sound collection module is connected to a sound analysis module, the output end of the sound analysis module is connected to a sound classification module, a sound decibel classification module, a sound classification module, The output end of the sound decibel classification module is connected with the system processing module, and the output end of the system processing module is connected with the sound warning module.
[0017] It is worth noting that the sound decibel classification module is detected by the sound detect...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a sound anomaly detection system based on deep learning. The sound anomaly detection system based on deep learning comprises a sound acquisition module; the output end of the sound acquisition module is connected to a sound analysis module; the output end of the sound analysis module is connected to a sound classification module and a sound decibel classification module; and the output ends of the sound classification module and the sound decibel classification module are connected to a system processing module. According to the sound anomaly detection system based on deep learning in the invention, abnormal sound can be acquired and collected through the sound acquisition module; then, the sound is analyzed through the analysis module; then, the sound is processed;processing is carried out according to the sound classification module and the sound decibel classification module; the sound frequencies and the sound decibels are analyzed, processed and classified; the sound frequencies and decibels are subjected to multi-layer classification; then, by utilization of the system processing module, a first colour warning lamp is on when the sound frequencies anddecibels are in the first unit; and a second colour warning lamp is on when the sound frequencies and decibels are in the second unit.
Description
technical field [0001] The present invention relates to the technical field of sound abnormality detection, in particular to a sound abnormality detection system based on deep learning. Background technique [0002] When the existing abnormal sound is detected, when the personnel often hear the abnormal sound, they can only find that the sound is abnormal, and cannot give a corresponding reminder to the degree of the abnormal sound. Therefore, we propose a sound abnormal detection based on deep learning system. Contents of the invention [0003] The purpose of the present invention is to solve the shortcomings in the prior art, and propose a sound anomaly detection system based on deep learning. [0004] In order to achieve the above object, the present invention adopts the following technical solutions: [0005] A sound anomaly detection system based on deep learning, comprising a sound collection module, the output of the sound collection module is connected with a sou...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 岳颀沈建东于福华
Owner XIAN UNIV OF POSTS & TELECOMM