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

A Fault Diagnosis Method of Fire Pump Based on Acoustic Emission Signal

An acoustic emission signal and fault diagnosis technology, applied in pump testing, machine/engine, liquid variable capacity machinery, etc., can solve the problem of undetectable fire pump fault characteristic frequency, difficult fire pump working state accurate evaluation, fault detection Difficulty and other problems, to achieve the effect of eliminating distorted signal components, strong anti-noise ability, and obvious characteristic frequency

Active Publication Date: 2017-05-31
CHONGQING UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is more difficult to detect the fault of the fire pump under normal operation, because the acoustic emission signal has transient randomness, and due to the influence of strong noise and steep distortion, the fault characteristic frequency of the fire pump may not be detected
In view of such limitations, it is difficult for traditional fire pump fault diagnosis methods to make a more accurate evaluation of the working status of fire pumps.

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 Fault Diagnosis Method of Fire Pump Based on Acoustic Emission Signal
  • A Fault Diagnosis Method of Fire Pump Based on Acoustic Emission Signal
  • A Fault Diagnosis Method of Fire Pump Based on Acoustic Emission Signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] figure 1 It is a flowchart of the method of the present invention, the method may further comprise the steps:

[0026] Step 1: Use the acoustic emission sensor to detect the signal of the fire pump, and collect the acoustic emission signal with distortion characteristics of the fire pump in the running state;

[0027] Step 2: Use a band-pass filter to extract the narrow-band signal in the acoustic emission signal, perform normalized direct orthogonal calculation on the narrow-band signal to obtain its instantaneous frequency, and finally perform point-by-point sampling correction on the signal based on the obtained instantaneous frequency. Obtain a corrective signal;

[0028] Step 3: Use the transient component analysis method to analyze the corrected signal, that is, first construct the parametric periodic transient wavelet based ...

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 provides a method for diagnosing fault of a fire pump based on acoustic emission signals, which aims to solve the problem of fault diagnosis of fire pumps, and uses concrete methods and steps that an acoustic emission sensor detects signals of a fire pump, and collects acoustic emission signals of the fire pump with distortion characteristics in the running state of the fire pump, and narrow-band signals in the acoustic emission signals are extracted by utilizing a band-pass filter, are directly orthogonally normalized and calculated to obtain instantaneous frequency, and are variably sampled and corrected point by point according to the obtained instantaneous frequency at last, thereby obtaining correction signals. Then the correction signals are analyzed by utilizing a transient component analysis method, firstly parameterization cycle transient wavelets are built based on unilateral laplace wavelets in a parameter domain, then the built parameterization cycle transient wavelets are matched with the correction signals for analysis based on a most relevant law, fault characteristic information is extracted, and at last faults are classified according to the fault characteristic information, thereby achieving fault diagnosis.

Description

technical field [0001] The invention relates to a fault diagnosis method of a fire water pump based on an acoustic emission signal. Background technique [0002] The fire pump is the most important part of the fire equipment, and its performance has a direct impact on the reliability of the entire fire equipment. Once the fire pump fails, the vibration and noise will increase, which will accelerate the loss of its equipment and reduce work efficiency; if it is serious, the entire building's fire protection facilities will stop working, causing serious accidents. Ensuring that the fire pump is in good condition and available throughout its life cycle is an important means to effectively ensure timely fire control. Therefore, performance testing and fault diagnosis of fire pumps are of great significance in industrial applications. Due to the incompressibility of the fluid, the fluid-solid coupling effect between the pump source and the pump circuit, and the large inherent me...

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): F04B51/00
Inventor 柴毅屈剑锋陈鹏张国洲谭云月
Owner CHONGQING 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