Method for predicting mechanical seal leakage failure of in-service rotating equipment

Abstract

A method for predicting mechanical seal leakage failure of in-service rotating equipment includes collecting and sorting leakage failure data, including associated failure and non-associated failure;establishing a data-driven model of mechanical seal leakage fault, including establishing normal distribution model, logarithmic normal distribution model, exponential distribution model and two-parameter Weibull distribution model based on the running fault data of mechanical seal of in-service rotating equipment, and carrying out parameter inversion and parameter verification to obtain a data-driven model of mechanical seal leakage fault; selecting the data-driven model of mechanical seal leakage fault; and according to the data-driven model of mechanical seal leakage fault, predicting the reliability life of mechanical seal of in-service rotating equipment. The invention provides a mechanical seal leakage fault prediction method with wide application range and of considering the actualuse condition of the equipment, which can provide an effective technical means for the long-period operation of the rotating equipment.

Description

Technical field [0001] The invention relates to a method for predicting leakage failure of a mechanical seal. In particular, it relates to a method for predicting leakage failure of mechanical seals of in-service rotating equipment. Background technique [0002] The mechanical seal patent appeared in the UK in 1885, and began to be applied to bearing seals in 1900. Mechanical seals are mainly used to solve the problem of dynamic seals for rotating shafts. Because mechanical seals have many advantages such as less leakage, high reliability and long life, they have been widely used in petroleum, chemical, pharmaceutical, fuel, and national defense industries. . However, due to the influence of many factors, the service life of mechanical seals varies from 2 to 4 years for the longest and 2 to 3 months or even weeks for the shortest. Failure to predict the leakage loss of the mechanical seal and the time when the leakage rate exceeds the standard often leads to premature replacem...

AI Technical Summary

Problems solved by technology

[0006] (2) Mechanical seal leakage is a very complicated problem. The mechanical seal can be predicted purely from the theoretical or experimental aspects. However, as a subsystem in the rotating equipment, factors such as equipment vibration, flow rate, and motor vibration affect the performance of the mechanical seal. Leakage also has a "contributing" effect, and the existing models for a single damage model have not considered these issues, therefore, often resulting in large deviations in prediction results

[0007] (3) The existing reliability evaluation method uses a single model and cannot adapt to the situation of different data samples. In some cases, the failure of the equipment does not conform to the Weibull model distribution

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