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

A monitoring method for the working condition of an earthquake simulation shaking table

A technology of earthquake simulation and shaking table, which is applied in measuring devices, character and pattern recognition, and measuring ultrasonic/sonic/infrasonic waves, etc. It can solve difficult problems and achieve reliable noise cancellation capabilities, reduce spectrum interference, and suppress noise.

Active Publication Date: 2020-09-22
WENZHOU UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to accurately extract real working condition information from strong background noise, it is difficult to use traditional noise reduction methods

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
  • A monitoring method for the working condition of an earthquake simulation shaking table
  • A monitoring method for the working condition of an earthquake simulation shaking table
  • A monitoring method for the working condition of an earthquake simulation shaking table

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the technical solution of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0036] reference Figure 1 to Figure 4 , The present invention provides a method for monitoring working conditions of a seismic simulation shaking table, which includes the following steps:

[0037] Step 1. Obtain the normal working condition signal samples of the seismic simulation shaking table. The theoretical working condition signal expression is:

[0038] y(n)=x(n)+s(n) (1)

[0039] Equation (1) y(n) is the theoretical working condition signal, where x(n) is the theoretical working signal, and s(n) is the random noise.

[0040] reference figure 1 , To change the object of the recurrent neural network. The object of traini...

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 method for monitoring the working condition of an earthquake simulation shaking table. Firstly, the sensor collects the signals of various working conditions of the seismic simulation shaking table and saves them to the PC for signal processing; secondly, the high-pass filter is used to remove the low-frequency interference in the non-operating frequency range, and the useful components of the signal are completely retained, which are used for learning and recognition of the cyclic neural network The actual working condition signal of the seismic simulation shaking table is used to drive the determination of the sieving gate coefficient ε and the number of IMF layers in the EMD algorithm, and finally obtain the denoising and status monitoring effects of the working condition signal of the seismic simulation shaking table. On the one hand, the method of the present invention uses high-pass filtering to filter out low-frequency interference, so that the interference signal obviously lower than the operating frequency is removed, thereby reducing spectrum interference; Learn to identify the real working signal, so as to drive the threshold inside the EMD to denoise the signal to obtain the final monitoring signal of the working condition of the seismic simulation shaking table.

Description

Technical field [0001] The invention relates to the field of state monitoring of mechanical equipment, and in particular to a method for monitoring the working conditions of an earthquake simulation shaking table by using EMD denoising enhanced by a high-pass filter cyclic neural network. Background technique [0002] Early earthquake resistance tests were initially based on field prototype tests. The strong earthquake observation instrument was set on structures such as houses, waiting for the arrival of the earthquake to measure the dynamic characteristics of the house. However, due to fewer strong earthquakes, the test period was long, which could not satisfy the earthquake resistance. Research requirements. Later, large-scale vibrating machines were used to vibrate on the prototype structure to obtain data, but the vibration of the vibrating machine was still very different from seismic vibration. Some scholars have also proposed to directly use computational analysis method...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01H17/00G06K9/00G06K9/62
CPCG01H17/00G06F2218/06G06F18/214
Inventor 梅艳任燕季献铖朱孜轶李燕妮王钦旭郑巧玲
Owner WENZHOU UNIV
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