Generalized-morphology-based automatic filling system fault diagnosis method

Abstract

The invention relates to a generalized-morphology-based automatic filling system fault diagnosis method. The method includes that aiming at high-speed motion of each mechanism when an automatic filling system works, measuring points are arranged at each angle motion component position, a driving motor and a power source portion to measure vibration acceleration, angle motion parameters and load current response signal for data analysis and fault classification recognition; experiment testing, signal processing, feature extracting and fault diagnosis are integrated, and automatic diagnosis, alarming and predicting can be realized. Aiming at different fault types of the automatic filling system, a generalized-morphology-based early fault diagnosis method is developed, convenience and quickness in fault diagnosis and prediction of the automatic filling system are realized, the problem that a medium-large-caliber artillery automatic filling system is backward in maintenance means and needs to be demounted greatly for inspection is solved, and the fault diagnosis method is high in intelligence level, low in maintenance cost, short in period, less prone to misdiagnosis and missed diagnosis and adaptable to needs of equipment and weapon development.

Description

technical field [0001] The invention relates to a health state prediction and fault diagnosis method for an automatic loading system of a medium and large caliber artillery under a generalized morphological framework. Background technique [0002] The artillery automatic loading system is a complex electromechanical system integrating machinery and electricity. The working environment is harsh, the moving parts move quickly and frequently, and there are many random and fuzzy factors that affect it. The accuracy and reliability of the action of the mechanism is not enough, so that the consistency of the movement form of the mechanism is poor, the movement is not in place, and the action is out of balance, which often leads to the system stuck and stopped, and cannot work normally. Therefore, based on online detection and fault analysis and diagnosis of morphological parameters, load current, vibration, displacement, speed, chamber force, chamber acceleration, etc., it is poss...

AI Technical Summary

Problems solved by technology

The online analysis and research of the generalized motion form of the mechanism of the automatic filling system has been stuck in the stage of computer simulation because of the particularity of its working conditions (high temperature, high pressure and high speed). Fault diagnosis and analysis by combining the shock response signal when the filling system is working

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