Automatic diagnostic method of gas power generator group vibration fault of device thereof

Abstract

The invention discloses an automatic diagnostic method of a gas power generator group vibration fault. The method comprises the step of determining a data collection mode according to the structure and vibration fault characteristics of a gas generator group, establishing the diagnosis knowledge base of gas power generator group vibration faults through field analysis, fault mechanism research and model simulation, automatically calculating the fault reliability of three major components through reasonably setting the frequency band parameters of a gas turbine, a speed reducer and a generator, and obtaining the state of the generation group through comprehensive analysis and synthesis operation. The invention also discloses the automatic diagnosis device of a gas power generator group vibration fault, a fault diagnosis result and reason and a suggested treatment measure can be directly displayed, a user can be helped to know the state of the generator group timely, the operation of the generator group is optimized, losses caused by accident enlargement and false shutdown are reduced, and the economic benefit of an enterprise is raised.

Description

technical field [0001] The invention relates to the field of fault diagnosis of mechanical equipment state monitoring, in particular to an automatic diagnosis method and device for vibration faults of flue gas generator sets. Background technique [0002] The flue gas generator set uses the high-temperature waste flue gas produced in the petroleum catalytic cracking production process as the medium, expands and outputs work, drives the generator to generate electricity, and has significant energy-saving and environmental protection benefits. A flue gas generating set is generally composed of three major components: a flue gas turbine, a reducer and a generator. The reducer changes the higher speed of the flue gas turbine into the rated speed of the generator at 3000rpm to meet the requirements of the power grid. [0003] Vibration failure of flue gas generating set is the main form of failure. At present, the collected vibration data is generally analyzed manually to determ...

AI Technical Summary

Problems solved by technology

Usually, manual analysis and diagnosis are performed when the unit has obvious abnormalities, and the timeliness is poor, so it is difficult to find the problems existing in the unit in time

Some use intelligent diagnosis systems to perform fuzzy diagnosis or artificial neural network diagnosis on vibration data to obtain the reliability of faults, but it is difficult to adapt to the actual needs of the unit in terms of data collection, diagnosis methods and diagnosis knowledge. The usual diagnosis results are A variety of faults coexist with little difference in reliability, it is difficult to determine the real cause and treatment method of the fault, and it lacks practical guidance

Images