Unlock instant, AI-driven research and patent intelligence for your innovation.

Petri network quantum Bayesian fault diagnosis method in liquid rocket engine starting stage

A technology for engine starting and liquid rockets, applied in special data processing applications, instruments, electrical digital data processing, etc.

Pending Publication Date: 2021-04-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fault detection and diagnosis of spacecraft often rely on hardware and sensor redundancy, but adding sensors to spacecraft is not always successful due to weight and cost constraints

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Petri network quantum Bayesian fault diagnosis method in liquid rocket engine starting stage
  • Petri network quantum Bayesian fault diagnosis method in liquid rocket engine starting stage
  • Petri network quantum Bayesian fault diagnosis method in liquid rocket engine starting stage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] figure 1 Taking the key nodes in the working process of the liquid rocket engine start-up stage as places, and the key actions as transitions, a Petri net model is established to simulate the start-up stage of the liquid rocket engine. The meanings of each place and transition are shown in Table 1 and Table 2.

[0046] Table 1. Physical meaning of each place

[0047] warehouse Place meaning warehouse Place meaning p 0

system ready p 8

The temperature of the oxidant pipeline reaches the standard p 1

1 branch connected to helium p 9

The fuel filling valve works stably p 2

2 branches connected to helium p 10

Oxidizer filling valve enable p 3

fuel tank air pressure p 11

Combustion chamber preparation p 4

Oxidant storage tank builds up air pressure p 12

Oxidant storage tank needs to be pressurized p 5

Fuel tank air pressure up to standard p 13

Fuel tank needs to be pressu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a Petri network quantum Bayesian fault diagnosis method in a liquid rocket engine starting stage. The method enables a quantum Bayesian network to greatly affect the probability inference through introducing quantum interference, especially when the uncertainty level of the network is very high (no evidence is observed). The quantum Bayesian network model about unobservable fault transition is established, observable node triggering relations and triggering probabilities of unobservable nodes are utilized, quantum parameters are manually selected to calculate a fault node triggering probability, and a system fault state is judged. According to the method, fault diagnosis can be carried out on a partially observable discrete dynamic system, and the method has the advantage that accurate fault diagnosis can also be carried out on an unobservable part.

Description

technical field [0001] The invention relates to the field of fault diagnosis of discrete dynamic systems, in particular to a Petri net quantum Bayesian fault diagnosis method in the start-up stage of a liquid rocket engine. Background technique [0002] Thruster failure accounts for about a quarter of spacecraft, satellite attitude and orbit control system failures, and thruster failure can greatly change the behavior of the entire spacecraft, and may even lead to the failure of the entire mission. Therefore, abnormal component behavior must be detected early. Fault detection and diagnosis of spacecraft often rely on hardware and sensor redundancy, but adding sensors to spacecraft is not always successful due to weight and cost constraints. [0003] In order to overcome the problem of incomplete observation information and meet real-time requirements, diagnostic systems generally adopt diagnostic methods based on qualitative models. Petri nets were first used in fault ident...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/15G06F30/27G06F119/02
CPCG06F30/15G06F30/27G06F2119/02
Inventor 张信哲刘久富汪恒宇
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS