Simulation-based fault feature extraction system and method, storage medium and equipment

Abstract

The invention relates to a simulation-based fault feature extraction system and method, a storage medium and equipment, and aims to solve the problems that the current engine fault diagnosis depends on a large amount of fault data, the real-time performance is relatively insufficient, and dynamic detection and diagnosis of fault development are difficult to meet. The system comprises an engine system simulation model generation module, an extraction condition setting module, a model simulation solving module, a post-simulation result processing module, a feature extraction module and a fault feature library. The method comprises the following steps: 1, acquiring a normal simulation model and a fault simulation model of an engine system, and performing simulation solution; 2, extracting real-time data in simulation or post-simulation result data; 3, performing dynamic feature data extraction or steady-state feature data extraction on the data extracted in the step 2; 4, processing the data extracted in the step 3 to obtain a dynamic feature extraction result and a steady-state feature extraction result; and 5, processing and storing an extraction result.

Description

technical field [0001] The invention relates to simulation research on liquid rocket engine faults, in particular to a simulation-based liquid rocket engine fault feature extraction system, method, storage medium and equipment. Background technique [0002] Liquid rocket engines work under the extreme environmental conditions of high temperature, high pressure, and strong corrosion. On the one hand, the duration of the fault occurrence and development process is very short, but the consequences are serious; The forms are different, and even if it is the same type or the same engine, the failure modes are completely different, so it is difficult to realize the replication and reproduction of engine failures through physical simulation and testing methods. Therefore, compared with the large-scale sample data of engine test run and flight data, the scale and proportion of failure samples are very small, which also leads to the lack of sufficient sample data and insufficient fai...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the current problem that the fault diagnosis of liquid rocket engines relies on a large amount of fault data, the real-time performance is relatively insufficient, and it is difficult to meet the problems of detection and diagnosis in the dynamic process of fault development, and proposes a liquid rocket motor fault feature based on simulation Extraction system, method, storage medium and equipment

Images