Online diagnosis method for reciprocating mechanical failure

Abstract

The invention provides an online diagnosis method for reciprocating mechanical failure, which includes a parameter setting module, a signal collecting module, a data processing module, a failure judging module, a humorous frequency recording module, a data displaying module and a data keeping module. The parameters set by the parameter setting module are connected into the signal collecting module to measure the signals like torsional vibration, pressure and temperature, etc, of a target to be measured, and judge whether a voltage signal is within the parameter scope in channel setting or not, partially access the torsional vibration signal in the collected signals into the data processing module, implement FFT treatment on data and implement calculation treatment on torsional angles; the signals except the torsional vibration signal directly enter the next flow and the data respectively enters the humorous frequency recording module, the failure judging module and the data displaying module. The online diagnosis method for reciprocating mechanical failure can judge the types of the generated failures according to the torsional vibration signal and the spectrum analysis result thereof as well as the parameters like cylinder pressure, oil temperature, water temperature and temperature discharge.

Description

(1) Technical field [0001] The invention relates to a fault diagnosis method, in particular to an on-line fault diagnosis method of reciprocating machinery. (2) Background technology [0002] Although the existing fault diagnosis methods for reciprocating machinery can realize the collection of torsional vibration signals and perform spectrum analysis on the torsional vibration signals, it is necessary to manually copy the amplitudes of each harmonic at different speeds when drawing the harmonic speed tracking spectrum. This will waste a lot of time, and there is a certain error in manual copying that is not accurate enough. Although the current torsional vibration test method can monitor the changes of the torsional vibration signal and judge whether a fault occurs according to the signal change, it cannot judge the type of the fault based on the torsional vibration signal and its spectrum analysis results. [0003] The existing technologies related to the present inventio...

AI Technical Summary

Problems solved by technology

[0002] Although the existing fault diagnosis methods for reciprocating machinery can realize the collection of torsional vibration signals and perform spectrum analysis on the torsional vibration signals, it is necessary to manually copy the amplitudes of each harmonic at different speeds when drawing the harmonic speed tracking spectrum. This will waste a lot of time, and there are certain errors in manual copying that are not accurate enough

Although the current torsional vibration test method can monitor the change of the torsional vibration signal and judge whether a fault occurs according to the change of the signal, it cannot judge the type of the fault based on the torsional vibration signal and the results of its spectrum analysis.

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