Self-loading system early failure predicting method based on multi-field information fusion

Abstract

The invention relates to a self-loading system early failure predicting method based on multi-field information fusion and belongs to the technical field of failure prediction analysis of self-loading systems of artillery. The self-loading system early failure predicting method based on multi-field information fusion is used for fusing data through information of various kinds of physical fields and is high in anti-interference capacity, recognition accuracy and reliability. According to the technical scheme, the method includes the steps that original data information of various physical fields is obtained, and the acceleration and the angle parameter of a self-loading system, an analog signal output by a current sensor, and in-place signals, angles, rates and digital signals of time characteristics of all proximity switches are acquired in real time; the acquired information is mapped, correlated, weighed and subjected to dimensionality reduction optimization, a model based on D-S evidence and the fuzzy set theory is built, and thus multi-field information fusion and failure prediction are carried out. The self-loading system early failure predicting method based on multi-field information fusion is high in accuracy and can be widely used for early prediction analysis of failure of the self-loading systems of artillery.

Description

technical field [0001] The invention relates to an early failure prediction method of an automatic loading system based on multi-field information fusion, and belongs to the technical field of failure prediction analysis of an automatic artillery loading system. Background technique [0002] The automatic loading system of medium and large caliber artillery is one of the core parts of the artillery weapon system. It is a very complex mechatronics system running at high speed. The high subsystem directly affects the rate of fire, firepower, survivability, maneuverability and fighter grasp of self-propelled artillery, and has also become an important factor restricting the development of my country's weapon system. [0003] Existing automatic loading systems for medium and large caliber artillery usually include: drive motors, rotary or translational ammunition magazines, bullet (powder) push mechanism, ammunition (powder) supply and delivery mechanism, in-position detection sw...

AI Technical Summary

Problems solved by technology

These characteristics make the typical fault diagnosis methods in the past unsuitable for the early fault prediction of the automatic filling system, which makes the early fault prediction of the automatic filling system more demanding and more difficult than the conventional equipment fault diagnosis

At present, the automatic filling system of medium and large calibers can only collect the switch signal, rotation angle and speed signal when the stroke is in place, and is equipped with data collection, threshold alarm and communication functions based on operation control, but the amount of information is very limited, and it is not yet possible for the automatic filling system. Early Failure Prediction

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