A comprehensive method for judging the wear state of mechanical equipment

Abstract

The invention relates to a method for comprehensively judging the wear state of mechanical equipment, which comprises the steps of: collecting N oil samples at the operating stage of the mechanical equipment according to the principle of equal time intervals, performing atomic emission spectroscopic analysis, and obtaining the concentrations of n different elements in the oil samples ; Carry out systematic clustering of spectral detection elements to determine the main wear elements; judge whether the oil is changed during the operation stage of the equipment, and then determine the wear index; standardize each wear evaluation index, and then perform factor analysis on the standardized wear index; The comprehensive score sequence of the main factor is tested for normality; according to whether the comprehensive score sequence conforms to the normal distribution, the wear threshold value of the comprehensive score is determined to complete the comprehensive judgment of the wear state. The present invention makes an overall judgment on the wear state of the device according to the comprehensive score of wear, and can quickly and correctly evaluate the wear state of the equipment and accurately early warning of wear failures.

Description

technical field [0001] The invention relates to the technical field of mechanical equipment monitoring, in particular to a method for comprehensively judging the wear state of mechanical equipment in the technical field of oil spectrum monitoring. Background technique [0002] Wear is the main cause of mechanical equipment failure. Oil spectral analysis is currently an important technology for monitoring early abnormal wear of equipment. The wear status evaluation of equipment is based on the spectral analysis data of oil samples collected during the operation of the equipment. A certain method to analyze the wear evaluation index and make a quantitative overall judgment is of great significance for correctly evaluating the wear status of equipment and accurately early warning of wear failure. [0003] At present, in the evaluation of the wear state, the comprehensive evaluation method uses multiple indicators to evaluate the wear state of the equipment, which can obtain a m...

AI Technical Summary

Problems solved by technology

Among the above methods, if the fuzzy method collects fewer oil samples, the accuracy of wear state discrimination will decrease; the actual meaning of the wear principal components extracted by the principal component analysis method is relatively vague, and it is often difficult to make a practical explanation ; The factor analysis method has the function of factor rotation, which can easily explain the actual meaning of each factor. However, because the factor analysis needs to construct a new factor model, the calculation amount is relatively large

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