Unlock instant, AI-driven research and patent intelligence for your innovation.

Fluctuation type crash and friction fault real-time identification method of steam turbine generator set

A steam turbine generator set and identification method technology, which is applied in vibration testing, machine/structural component testing, ultrasonic/sonic/infrasonic wave measurement, etc. Automatic online monitoring of faults, analysis and identification, etc., to achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2011-09-14
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Usually, the analysis of fluctuating rubbing failures of large turbogenerator sets is completed by professionals with certain on-site operation experience through the analysis of vibration data, which brings about the problem that the analysis work is highly dependent on professionals, and cannot be done Real-time automatic online monitoring, analysis and identification of rubbing faults in steam turbine generator sets

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
  • Fluctuation type crash and friction fault real-time identification method of steam turbine generator set
  • Fluctuation type crash and friction fault real-time identification method of steam turbine generator set
  • Fluctuation type crash and friction fault real-time identification method of steam turbine generator set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0034] figure 1 It is a flow chart of the real-time identification method for fluctuating rubbing faults of a turbogenerator set. figure 1 Among them, the real-time identification method for fluctuating rubbing faults of a turbogenerator set provided by the present invention includes:

[0035] Step 1: Set the first duration T 1 =100 seconds, the second duration T 2 =30000 seconds, the step length t=1 second, so that the total length of the step is t sum =0.

[0036] In the actual implementation process, the second duration T 2 Can take 40000≥T 2 ≥30000 seconds. In addition, in order to determine whether a fluctuating rubbing fault occurs in the shafting of the unit, the first set value D 1 =12μm, the second se...

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 fluctuation type crash and friction fault real-time identification method of a steam turbine generator set in the field of rotating mechanical vibration state monitoring and fault diagnosis techniques, which comprises the following steps: the pass frequency vibration amplitude data are computed and stored in the interval of a stepping length; when the first time span is reached, the maximum values of the pass frequency vibration amplitude data are obtained and stored; when the second time span is reached, the maximum values of the pass frequency vibration amplitude data are ranked into a pass frequency vibration amplitude extremum array according to the sequential storage time sequence; the extremum points of the pass frequency vibration amplitude extremum array are computed, the extremum points are formed into an extremum point array; the data in the extremum point array are ranked according to the magnitude sequence to obtain a final extremum point array; the absolute value of the difference value of the front q item average value and the following q item average value in the final extremum point array is computed; and the shafting of the set is judged to generate fluctuation type crash and friction faults or not. In the invention, the real-time automatic online monitoring of the bearing pedestal vibration data is realized, and the efficiency and accuracy of the fluctuation type crash and friction fault real-time analysis of the steam turbine generator set are improved.

Description

technical field [0001] The invention belongs to the technical field of vibration state monitoring and fault diagnosis of rotating machinery, and in particular relates to a real-time identification method for fluctuating rubbing faults of a steam turbine generator set. Background technique [0002] Rubbing between rotating parts and stationary parts of large turbogenerator sets is a common fault in operation. As the efficiency requirements of large-scale units continue to increase, the dynamic and static gaps become smaller, and the possibility of rubbing failures increases. Rubbing causes the rotor to produce very complex movements. In mild cases, the unit will vibrate strongly, and in severe cases, it may cause permanent bending of the rotating shaft, or even destroy the entire shafting system. When a rubbing fault occurs in a large turbogenerator set at a working speed, the variation of its amplitude is different. Among them, the amplitude of fluctuating rubbing faults f...

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): G01M7/02G01H17/00
Inventor 宋光雄
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)