Device fault detection method based on acoustic features

A technology of detection method and calculation method, applied in signal pattern recognition, speech analysis, instruments, etc., can solve problems such as difficulty in accurately and timely judging equipment failure types and information, and parameters are difficult to detect, and achieve real-time online fault detection, Accurate and timely judgment, easy to use effect

Inactive Publication Date: 2019-10-08
莫毓昌
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an equipment fault detection method based on acoustic features, which solves the problem that in the prior art, the most commonly used method for power equipment fault diagnosis and state detection is the electrical measurement method, but the electrical qu

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Device fault detection method based on acoustic features
  • Device fault detection method based on acoustic features
  • Device fault detection method based on acoustic features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] 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.

[0065] see figure 1 , the present invention provides a kind of technical solution: a kind of interfering sound separation calculation method, adopts following steps:

[0066] S11. Using kurtosis as a measure of signal non-Gaussianity, the specific algorithm is as follows:

[0067] Kurt(x)=E(x 4 )-3(E(x 2 )) 2 ;

[0068] S12. The algorithm based on the maximum direction of negentropy realizes the sequential extraction of independent source signals, and the...

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

No PUM Login to view more

Abstract

The invention discloses a device fault detection method based on acoustic features, and relates to the technical field of fault detection. An interference sound separation calculation method comprisesthe following steps: S11, taking kurtosis as measure of signal nongaussianity. According to the device fault detection method based on the acoustic features, a sound of a power transformation devicein working is collected through a microphone array; independent source sound signals are extracted by an interference sound separation technology based on negative entropy independent component analysis; dimensionality reduction processing is performed on sound data based on two-dimensional principal component analysis to extract main frequency spectrum feature information; the sound signals are classified based on a multi-value decision diagram to realize fault diagnosis; and finally the power device fault location based on weighted multi-signal classification is performed. The purpose of real-time on-line fault detection is achieved; the device fault type and information can be judged accurately and timely; and while the working efficiency is improved, the use by a user is facilitated.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a device fault detection method based on acoustic features. Background technique [0002] The failure of power equipment means that the working condition of the power system is abnormal, some functions of the power equipment fail, or the performance index of the power equipment exceeds its rated range. Usually, the power equipment enters a fault state. The structure of power equipment is complex, and the system is prone to failure during operation. The cause of failure mainly refers to the physical, chemical, biological or mechanical processes that lead to the failure of power equipment under the operating conditions of the equipment, such as corrosion, creep, wear, heating, aging, etc. [0003] In the prior art, the most commonly used method for fault diagnosis and state detection of power equipment is the electrical measurement method, but the electrical quantity usual...

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
no application Login to view more
IPC IPC(8): G10L25/51G10L25/48G10L25/18G10L25/27G06K9/00G06K9/62
CPCG10L25/51G10L25/48G10L25/18G10L25/27G06F2218/02G06F2218/08G06F2218/12G06F18/2135G06F18/2411
Inventor 莫毓昌蔡绍滨
Owner 莫毓昌
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap