Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

ITD equipment fault diagnosis method and system

A diagnosing method and equipment fault technology, applied in the field of ITD equipment fault diagnosing method and system, can solve the problems of discontinuous data segment, fractal structure damage of original signal, manual determination of analysis scale, etc.

Inactive Publication Date: 2021-04-23
山东柯瑞申智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the method proposed in the present invention to analyze the equipment vibration signal can effectively extract the multi-fractal characteristics of the equipment vibration signal, and overcome the analysis scale existing in the MFDFA method that needs to be manually determined, the order of the fitting polynomial trend is difficult to determine, and the gap between data segments Continuous problem, solve the original signal fractal structure damage and negative frequency phenomenon existing in MFDFAemd method, has the advantages of high accuracy and precision of analysis results, high accuracy of equipment operation status identification results, etc.

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
  • ITD equipment fault diagnosis method and system
  • ITD equipment fault diagnosis method and system
  • ITD equipment fault diagnosis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0114] Examples such as figure 1 , figure 2 Shown, a kind of ITD equipment fault diagnosis method comprises the following steps:

[0115] Step 1: Use the acceleration sensor to measure the equipment vibration signal x(k) at the sampling frequency fs, k=1, 2, ..., N, N is the length of the sampling signal;

[0116] Step 2: Use the Intrinsic time-scale Decomposition (ITD) algorithm to decompose the signal x(k) into the sum of n components and a trend item, namely , where c i (k) represents the i-th component obtained by the ITD algorithm, r n (k) represents the trend item obtained by the ITD algorithm, in this example, n=10;

[0117] Step 3: Use nonlinear discriminant algorithm to exclude noise components and trend items from ITD decomposition results, and retain components containing fractal features c f (k), f=1,2,...,p, p represents the number of remaining components after filtering;

[0118] Step 4: Determine c f The local maximum value and local minimum value of (k...

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 an ITD equipment fault diagnosis method and system. The method comprises the steps of: carrying out decomposition on an equipment vibration signal through employing an ITD algorithm; employing a nonlinear discrimination algorithm to remove a noise component and a trend term and reserve a fractal signal component; carrying out interpolation on an extreme point through employing a cubic spline interpolation function; fitting an envelope through employing a least square method; separating a frequency modulation part; utilizing a DQ algorithm to estimate an instantaneous frequency and calculate a corresponding instantaneous scale; determining a vibration signal detrending result according to an analysis scale; calculating a multi-fractal spectrum of the detrending signal; extracting coordinates of a left end point, a right end point and an extreme point of the multi-fractal spectrum as characteristic parameters of an equipment operation state, so as to identify the equipment operation state; and deploying the algorithm to the equipment state monitoring system. The method and system are suitable for processing complex equipment vibration signals and can accurately distinguish the equipment operation state. The equipment state monitoring system has good flexibility and portability and is convenient for engineering application.

Description

technical field [0001] The invention relates to the field of equipment state monitoring and fault diagnosis, in particular to a method and system for fault diagnosis of ITD equipment. Background technique [0002] Equipment vibration signals contain rich fractal features, which can describe the operating state of equipment. Box dimension, power spectrum analysis and rescaled range method can estimate single fractal parameters of stationary signals, and detrended fluctuation analysis (DFA) can estimate single fractal dimensions of non-stationary signals. However, when the equipment fails, its vibration signal is usually non-stationary and has multi-fractal characteristics. At this time, the traditional fractal dimension estimation method will produce relatively large errors. Multifractal detrended fluctuation analysis (MFDFA) can estimate the multifractal parameters of non-stationary signals, but the MFDFA method has the problems of manual determination of the analysis scale...

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): G01M99/00G01M13/021G01M13/028G06F17/15
CPCG01M13/021G01M13/028G01M99/004G06F17/15
Inventor 豆春玲寇兴磊
Owner 山东柯瑞申智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products