A keyless phase angle domain period segmentation method for reciprocating compressor signals

A compressor and signal technology, applied in mechanical equipment, machines/engines, computer parts, etc., can solve the problems of key phase sensor misalignment, key phase signal abnormality, key phase sticking block falling, etc., so as to save high costs , the effect of improving reliability

Active Publication Date: 2022-07-12
BEIJING UNIV OF CHEM TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The reciprocating compressor diagnostic system usually installs the key photo on the flywheel position by cranking. Although the key phase sensor is not greatly affected by the vibration of the fuselage and the failure rate of the sensor itself is low, due to the short maintenance cycle of the compressor, it is difficult to It is easy to cause the key phase sensor to be misplaced or even the key phase sticking block to fall off; on the other hand, due to the change in the installation angle of the flywheel or coupling after the reciprocating compressor is overhauled, the key photo will deviate between the position of the flywheel and the position of the top dead center of the piston. These will lead to abnormal key phase signal
[0004] Once the key phase sensor and signal path fail, the online monitoring system will not be able to perform effective diagnosis and the gas volume control system will fail
In addition, because its installation position is close to the flywheel and it is an explosion-proof charged component, the key phase sensor cannot be disassembled and replaced immediately when it fails. It must be completely shut down and the cabinet is powered off before maintenance and replacement can be performed. Reliable application of technical systems poses great difficulties

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 keyless phase angle domain period segmentation method for reciprocating compressor signals
  • A keyless phase angle domain period segmentation method for reciprocating compressor signals
  • A keyless phase angle domain period segmentation method for reciprocating compressor signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The principles and embodiments of the present invention are described in detail below in conjunction with the accompanying drawings and the actual compressor vibration signal:

[0039] like figure 1 As shown in the figure, a keyless phase angle domain period segmentation method of the reciprocating compressor signal, the main process is as follows:

[0040] (1) Obtain the vibration signal and convert it into a bar graph image

[0041] First, according to the rated working speed of the compressor is 300 rpm, the nominal working cycle duration T=0.2s of the compressor is obtained; the original vibration signal D is obtained by using the online monitoring system sensor and data acquisition original , randomly intercept the continuous vibration signal data set of 0.4s duration D={d 1 ,d 2 ,…,d 2496 };

[0042] Secondly, draw the signal image with (-100, 2596) as the abscissa range and (-579, 579) as the ordinate range;

[0043] Finally, convert the drawn image into a ...

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

A keyless phase angle domain period segmentation method of a reciprocating compressor signal belongs to the technical field of fault diagnosis of a reciprocating compressor. Aiming at the problem that the key phase signal is abnormal or even lost in the actual on-line monitoring of the reciprocating compressor, the fault diagnosis and analysis cannot be carried out, and the whole cycle interception of the signal is completed by mining the effective information inside the signal itself. It includes steps: 1) obtaining vibration signals and converting them into images; 2) determining the size of the interception window; 3) identifying the opening impact of the air valve; 4) calculating the phase of the air valve opening and intercepting the whole cycle signal. The method realizes the whole cycle re-segmentation of the collected compressor original signal without installing the key-phase sensor or the failure of the key-phase sensor. It saves the high cost of key-phase equipment and avoids the failure of the online monitoring system to perform effective diagnosis and the failure of the gas volume control system due to the failure of the monitoring equipment, which effectively improves the reliability of the compressor monitoring and control system.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of reciprocating compressors, and relates to a keyless phase angle domain periodic segmentation method based on a mechanism model and an image similarity recognition technology, which can perform data acquisition without installing a key-phase sensor or in the case of a key-phase sensor failure. The original signal of the compressor is divided into a whole cycle, which is convenient for subsequent air volume adjustment and fault diagnosis. Background technique [0002] The reciprocating compressor is a common core power device with a large number of applications in petrochemical and other industries. Safety production and energy saving and consumption reduction are the long-term needs of enterprise compressor equipment. On-line monitoring, diagnosis and optimization control are important for compressor equipment. Sex speaks for itself. The basis of monitoring and diagnosis technology and ...

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): F04B51/00G06K9/00G06T11/00
CPCF04B51/00G06T11/00G06F2218/08Y02P80/10
Inventor 雷芙常王瑶孙旭张进杰刘雯华王金铭
Owner BEIJING UNIV OF CHEM TECH
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