Method and device for monitoring vibration faults of turbo generator set

Abstract

The invention discloses a method for monitoring vibration faults of a turbo generator set. The method comprises the following steps of: determining diagnostic models of the vibration faults in advance, wherein the diagnostic models comprise vibration fault types and corresponding vibration fault necessary and sufficient conditions, each vibration fault at least corresponds with one vibration fault necessary and sufficient condition, and one vibration fault necessary and sufficient condition at least comprises the omen of one vibration fault type; in the event of monitoring the vibration faults, the method comprises: obtaining characteristic data of various omens in the vibration fault diagnostic models from a TDM (Transient Data Manager) system to obtain reliabilities of various omens according to the characteristic data of various omens; and determining reliabilities of various vibration faults according to the reliabilities of various omens and various vibration fault necessary and sufficient conditions, judging various vibration faults exist or not according to the reliabilities of various vibration faults and the thresholds of the preset corresponding vibration faults, and if so, obtaining severities of various vibration faults according to the preset corresponding influence factors and the reliabilities of various vibration faults.

Description

technical field [0001] The invention relates to the field of vibration fault diagnosis of rotating machinery vibration monitoring, in particular to a monitoring method and device for vibration faults of steam turbine generator sets. Background technique [0002] Vibration is the most common vibration failure phenomenon of turbogenerators. At present, turbogenerators are basically equipped with TDM (Transient Data Manager) system. TDM system in power plants generally refers to online state monitoring and analysis of turbogenerator vibration. The main function of the system is to conduct in-depth analysis of the data during the operation of the unit, and obtain vibration fault symptom data including speed, vibration waveform, frequency spectrum, frequency multiplier amplitude and phase, etc., so as to provide data for professional vibration fault diagnosis personnel. Assist the unit diagnosis and maintenance experts to deeply analyze the operating status of the unit. [0003]...

AI Technical Summary

Problems solved by technology

The device and method calculate the reliability of the necessary and sufficient conditions of the vibration fault and the reliability of the vibration fault by analyzing the necessary and sufficient conditions of the vibration fault of the steam turbine generator set, relying on various signal analysis results, but the method is only for A single signal analysis graph is used to explain, and the diagnosis results are only displayed in numerical values, so the current state of the unit can only be understood one-sidedly, and there are many factors affecting the state of the unit. The information reflected by a single signal analysis graph is limited, and it is difficult to understand the unit status for reliable identification

[0006] To sum up, the current TDM system cannot directly and accurately give the diagnosis results of the severity of unit vibration faults, and other existing methods or systems cannot grasp the status and change trend of the unit as a whole, so they cannot directly and accurately The diagnosis results of the severity of unit vibration faults are accurately given. If the vibration fault diagnosis is completed by experts, it will bring the disadvantages of high economic cost, long cycle and low timeliness. If the vibration fault diagnosis is completed by non-experts, use Existing methods or systems will bring the disadvantage of low reliability of diagnostic results

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