Man-machine cooperation interaction method for equipment characteristic frequency display

Abstract

The invention relates to a man-machine cooperation interaction method for equipment characteristic frequency display, which comprises the steps that a database of A equipment is established, each piece of standard data information is arranged in the database, and each piece of standard data information comprises a group of abnormal reasons of parts / parts in the A equipment and characteristic frequency corresponding to the abnormal reasons; frequency information of the equipment A within the time T is obtained and displayed on a display device; frequency information on the display device is observed, and abnormal frequency information points / positions are selected to be compared with the standard data information in the database, so that abnormal reasons of the equipment A are determined and displayed on the display device. According to the scheme provided by the invention, each characteristic frequency of the equipment is input into the system in advance, in the diagnosis process of a diagnosis engineer, in combination with some abnormal frequencies found in the spectrogram, relevant rotating speed calculation is carried out through the system, fault causes corresponding to the abnormal frequencies are quickly found, and the working efficiency of a diagnosis analyst is improved.

Description

technical field [0001] The invention relates to the field of equipment fault diagnosis, in particular to a human-computer cooperation interaction method for displaying equipment characteristic frequencies. Background technique [0002] Eigenfrequency, also known as defect frequency, is the frequency characteristic reflected when the fault occurs in the moving equipment, such as the fault frequency of the inner ring of the bearing, the fault frequency of the outer ring, the fault frequency of the rolling element, the fault frequency of the cage, the meshing frequency of the gearbox, etc. These characteristic frequencies have been determined at the factory. There are also some fault frequencies, which need to be combined with specific equipment and some data processing methods to obtain the fault frequency. At present, there are many solutions for how to accurately calculate the defect frequency, which is some basic work for finding faults, such as the name "A diagnostic meth...

AI Technical Summary

Problems solved by technology

However, a device contains many characteristic frequencies, and it is very troublesome to find these characteristic frequencies. When some abnormal frequencies are found in the spectrum diagram, some calculations must be performed in conjunction with the relevant rotational speed, and the cause of the fault cannot be quickly obtained.

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