Real-time diagnosis method for oil film whirl fault of large steam turbine-generator

A turbogenerator set and diagnostic method technology, applied in engine testing, vibration testing, machine/structural component testing, etc., can solve problems such as long cycle time, low reliability, and high economic cost of diagnosis, and achieve scientific methods and conclusions reliable effect

Inactive Publication Date: 2009-05-13
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, the diagnosis of the oil film whirl fault of the unit is completed by experienced experts, which has t

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
  • Real-time diagnosis method for oil film whirl fault of large steam turbine-generator
  • Real-time diagnosis method for oil film whirl fault of large steam turbine-generator
  • Real-time diagnosis method for oil film whirl fault of large steam turbine-generator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0033]This method can be used to diagnose the oil vortex fault of a 200MW steam turbine generator set. According to this method, a specific computer diagnostic program for oil film turbulence faults is designed, and the fault diagnostic program is installed in an industrial computer (IPC). A diagnosis cycle in the real-time diagnosis program for oil film vortex faults includes data collection and preprocessing involved in the diagnosis method, verification of the real-time operating speed conditions of the unit rotor, verification of the unity of the main frequency of the low-frequency vibration of the shaft vibration, and the main frequency of the half-frequency of the shaft vibration A series of calculation and analysis verification links such as condition verification, shaft vibration half-frequency vibration amplitude condition verification, and unit oil film whirl vibration fault identification.

[0034] First, the industrial computer (IPC) collects the relative vibration sig...

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 real-time oil film whirling fault diagnosis method for a large steam turbine generator set, belongs to the fields of mechanical vibration state monitoring and fault diagnosis, and relates to the real-time online monitoring of the vibration state of the large steam turbine generator set. The method comprises the following steps: collecting vibration signals of a rotor shaft of a steam turbine set to carry out necessary data preprocessing on vibration data, judging that the rotating speed of a shaft system of the set is less than twice of a first critical rotating speed of a rotor, further combining the Fast Fourier Transform (FFT) spectrum analysis method to carry out the real-time quantitative computation and analysis of the shaft vibration data such as unicity verification of the main frequency for the low frequency vibration of the shaft vibration, condition verification of the main frequency for the half-frequency vibration of the shaft vibration, the condition verification of the half-frequency vibration amplitude of the shaft vibration and the like, and automatically diagnosing whether an oil film whirling fault occurs in the set based the real-time quantitative computation and analysis and in conjunction with various verification results in a real-time and online manner. The method has the advantages of scientificness, reliable conclusion, automatic realization of the real-time online monitoring and fault diagnosis and the like.

Description

Technical field [0001] The invention belongs to the field of vibration state monitoring and fault diagnosis of rotating machinery, and particularly relates to a real-time diagnosis method for the oil film vortex fault of a steam turbine generator set for real-time online automatic monitoring of the vibration state of a large steam turbine generator set. Background technique [0002] The stability of the shaft system of a turbo-generator unit is directly related to the safe operation of the unit and the reliability of the equipment. Shafting stability is low, the lighter one will increase the maintenance cost, affect the availability of equipment, and cause serious damage to the unit. Among the many factors that affect the stability of the unit shafting, the bearing is the decisive factor. The oil film in the shaft support bearing not only generates pressure to support the entire rotor, but also generates a damping force to suppress rotor vibration. Under certain conditions, the s...

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): G01M7/02G01M15/00
Inventor 宋光雄
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap