A method for detecting the working state of mechanical equipment based on artificial intelligence

Abstract

The invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based method for detecting the working state of mechanical equipment. The detection method includes collecting multiple groups of vibration signals of the mechanical equipment to be detected; extracting the characteristic information in each group of vibration signals to obtain the characteristic information sequence; dividing the characteristic information into two types through the positional relationship between the characteristic information and the standard hypersphere, and obtaining For each type of distance evaluation index, the standard hypersphere is a hypersphere constructed based on multiple sets of standard feature information sequences; the first safety index is obtained according to the sum of the distance evaluation indexes of the two types; the straight line equation is obtained by fitting multiple sets of feature information sequences, according to The slope of the straight line equation is used to obtain the angle; the angle change between the angle and the standard angle is obtained, and the second safety index is obtained according to the angle change; the overall safety index is obtained according to the first safety index and the second safety index, and the safety level is judged. Signals are susceptible to noise interference, causing technical problems with inaccurate evaluation results.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based method for detecting the working state of mechanical equipment. Background technique [0002] During the production process of the intelligent workshop, if the mechanical equipment fails, it will cause major economic losses due to the failure of the equipment to work normally, and may cause serious casualties. Some performance indicators of the equipment itself will change before the failure of the mechanical equipment, and the working status of the corresponding equipment can be estimated by monitoring the changes of these indicators. The monitoring signal of equipment status is the information carrier to reflect whether the equipment is running normally or not. [0003] For rotating parts in large mechanical equipment, such as bearings and gears, etc., when the vibration method is usually used to monitor the working state, the displacemen...

AI Technical Summary

Problems solved by technology

[0005] Since the vibration signal of mechanical equipment is easily disturbed by noise, directly analyzing the vibration signal will bring the influence of the noise signal into the evaluation result, resulting in inaccurate evaluation results

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