Rotating equipment characteristic frequency calculating method

Abstract

The invention discloses a rotating equipment characteristic frequency calculating method. The method includes inquiring characteristic frequency coefficients of different parts of the equipment; calculating the forward characteristic frequency corresponding to each part; selecting one characteristic frequency freely and determining the forward characteristic frequency position, if the forward characteristic frequency does not include at least one of judgment features, continuing to find the correct real characteristic frequency; after determining the forward characteristic frequency, marking the frequency position of the candidate characteristic frequency; after the candidate characteristic frequency, calculating the basic frequency corresponding to each candidate frequency reversely; selecting the position of one candidate characteristic frequency freely as the real characteristic frequency, marking the positions of the candidate characteristic frequency, a side band and harmonic waves; judging whether the characteristic frequency has the judgment features; if the characteristic frequency has the judgment feature, determining the characteristic frequency as the correct characteristic frequency; if the characteristic frequency does not has the judgment feature, switching to another candidate characteristic frequency for judgment until the correct characteristic frequency is found.

Description

technical field [0001] The invention relates to the mechanical field, in particular to a method for calculating the characteristic frequency of rotating equipment. Background technique [0002] Rotating equipment condition monitoring has an increasing demand in modern industrial production. When performing condition monitoring on rotating equipment, diagnostic engineers need to judge whether the equipment is faulty, the location of the fault, the extent of the fault, and even predict the service life of the equipment, so as to make an accurate assessment of the operating status of the equipment. This process is called mechanical fault diagnosis. . [0003] The analysis of eigenfrequency is a basic basis for fault diagnosis. Different types of equipment failures often correspond to different eigenfrequency characteristics. For example, if a bearing rolling element fails, then in the frequency spectrum or envelope spectrum, the characteristics of the bearing rolling element m...

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Problems solved by technology

[0025] 3) Belt failure: the belt frequency has a high amplitude, and generally does not carry sidebands;

[0026] 4) Gear failure: the gear meshing frequency carries the sideband of the rotation frequency of the shaft where the gear is located;

[0037] 3. Assuming that the given fundamental frequency is accurate, but due to the limited resolution of the system, the completely accurate fundamental frequency may not be marked on the system map, but can only be marked that is closer to the given fundamental frequency under the map resolution capability A frequency position of the frequency, which will also cause the base frequency position marked on the map to be inconsistent with the given base frequency

But the existing eigenfrequency calculation method is not enough to find the completely accurate eigenfrequency on the map

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