|Table of Contents|

Typical fault simulation and identification system design for turbopump (PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2023年03期
Page:
96-104
Research Field:
目次
Publishing date:

Info

Title:
Typical fault simulation and identification system design for turbopump
Author(s):
YAO Shangpeng1;  HUANG Hong2;  ZHAO Jiamin3;  SU Yue1
(1. School of Power and Energy, Northwestern Polytechnical University, Xi'an 710129, China; 2. Science and Technology on Liquid Rocket Engine Laboratory,Xi'an Aerospace Propulsion Institute,Xi'an 710100, China; 3. Beijing Institute of Astronautical Systems Engineering, China Academy of Launch VehicleTechnology, Beijing 100076, China)
Keywords:
turbo pump;  fault mechanism;  fault identification;  rotor dynamics;  finite element method
PACS:
V434.21
DOI:
-
Abstract:
Turbine pump is a key component of liquid rocket engine, with harsh working environment and high failure rate. Especially, the rotor system with complex high temperature and high pressure fuel impact is highly prone to unbalance, misalignment and blade drop block failures. It is urgent to explore the common fault mechanism of turbopump rotor, clarify the fault characteristics and establish the identification system of typical failures. In this paper, by analyzing the failure force model, the dynamics models considering the rotor unbalance, misalignment and blade dropout are established respectively, to determine the vibration characteristics of the turbine pump rotor and clarify the rotor time domain and frequency domain signals as well as the axial trajectory. Further, a typical fault simulation and identification system of turbine pump based on Matlab GUI platform is built and the test data are processed. The research shows that the time domain waveform of the unbalanced fault is a sine curve with 1 frequency dominance and elliptical axis trajectory; the time domain waveform of the misalignment fault is composed of two different sets of sine curves with 2 frequency dominance and "inner 8" shaped axis trajectory; the time domain waveform of the blade block drop has abrupt changes with 1 frequency dominance, and the axis trajectory is stable before the block drop occurs but more chaotic after the block drop occurs. The above research results show that the signal frequency domain characteristics are crucial to fault identification. Supplemented by time domain characteristics, three typical faults can be accurately identified, and the system can provide technical support for the fault identification design of turbine pump rotor.

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