Geodesy

Rocket (weapon)

Algorithm

Benchmark (surveying)

Engineering

Fault detection and isolation

Reliability engineering

Aerospace engineering

Biology

Identification (biology)

Embedded system

Actuator

Computation

Computer science

Botany

Fault (geology)

Seismology

Geology

Simulation

Geography

Rocket engine

Automotive engineering

Environmental science

Operations management

Artificial intelligence

Kalman filter

CUSUM

Test bench

Aeronautics

IFAC-PapersOnLine

A diagnosis benchmark was developed for the MASCOTTE test bench of ONERA/CNES. It consists of a CARINS Simulator of the bench, model-based fault diagnosis algorithms and firing tests results. The objective of this work was to demonstrate alternatives to the classical redline monitoring strategy used on the bench. A simplified model of the cooling circuit of the test bench was built and used to apply a parameter identification detection method and a Kalman filter. The diagnosis flags are obtained through analysis of the residuals via CUSUM tests. This article shows the results obtained and proposes an example of methodology to identify and validate performances of new diagnostic strategies.

Fault diagnosis benchmark for a rocket engine demonstrator