Distributed remote vibration monitoring and fault diagnosis system of large steam turbine-generator

Abstract

The invention discloses a distributed remote vibration monitoring and fault diagnosis system of a large steam turbine-generator, comprising a database subsystem in which steam turbine-generator vibration data is stored, a workstation subsystem capable of providing real-time status monitoring, historical data analysis and fault symptom analysis, and a Web server subsystem provided with remote monitoring and fault diagnosing software, wherein, the subsystems are connected with one another by the Ethernet, and are integrated by a Web services technique. A method combining a traditional fault diagnosing technique based on Fourier analysis, a novel independent component analysis feature extraction technique, a Hilbert-yellow time frequency analysis technique, an empirical decomposition algorithm trend analysis technique and a self-organizing map neural network is adopted for monitoring and diagnosing in the system, thus improving the monitoring real time and the accuracy of diagnosis. The system has strong universality and reliability; and the system configuration can be adjusted, thus conveniently realizing distributed remote monitoring and diagnosis based on the internet as a medium.

Description

technical field [0001] The invention relates to the field of distributed remote state monitoring and fault diagnosis of large steam turbine generator sets, in particular to a remote vibration monitoring and fault diagnosis system based on Web Services technology. Background technique [0002] An obvious trend in the development of modern machinery and equipment is to develop in the direction of large-scale, high-speed, continuous and automated. As a result, the functions of the equipment are increasing, the performance indicators are getting higher and higher, and the composition and structure are becoming more and more complex. With the sustained and rapid development of the national economy, my country's demand for power supply is increasing. During the "Eleventh Five-Year Plan" period, a new round of power infrastructure construction will usher in a climax. Among the newly-added generating units, most are supercritical and ultra-supercritical large-scale turbogenerator u...

AI Technical Summary

Problems solved by technology

In addition, due to the complex composition of the large-scale unit system, it is necessary to make full use of the network platform to integrate various monitoring and diagnostic methods

[0004] In addition, the traditional fault diagnosis technology is based on Fourier analysis. Fourier analysis is only suitable for the analysis of linear and stationary signals. For large units that have failed, the signals have obvious nonlinear and non-stationary characteristics, so there are It is necessary to improve the analysis method for monitoring and diagnosis, in order to deal with the vibration signal monitoring and analysis tasks of supercritical and ultra-supercritical turbogenerator sets with high parameters and complex working conditions

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