ACD 2022 Paper Abstract

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Paper WeA2.5

Galli, Federica (IRSEEM, Normandie University, UNIROUEN, ESIGELEC), Sircoulomb, Vincent (IRSEEM), HOBLOS, Ghaleb (IRSEEM/ESIGELEC), Weber, Philippe (Universite de Lorraine), Galeotta, Marco (CNES)

Remaining Useful Life Estimation Based on Wavelet Decomposition: Application to Bearings in Reusable Liquid Propellant Rocket Engines

Scheduled for presentation during the Regular Session "Diagnosis and Prognosis" (WeA2), Wednesday, November 16, 2022, 17:20−17:40, ROOM - E 210

16th European Workshop on Advanced Control and Diagnosis, November 16-18, 2022, Nancy, France

This information is tentative and subject to change. Compiled on April 24, 2024

Keywords Prognosis and Health Management, Maintenance Engineering, Transportation Systems

Abstract

The increasing trend towards the development of reusable rocket engines pushes towards the development of Prognosis and Health Monitoring (PHM) approaches useful to monitor the health of the system and plan its maintenance. In this perspective, we present a hybrid method for Remaining Useful Life (RUL) estimation of rocket engines turbo-pump bearings based on Maximum Overlap Discrete Wavelet Packet Transform (MODWPT) and polynomial approximation. The proposed method calculates the bearing RUL in six main steps: data acquisition, wavelet decomposition, feature extraction, degradation detection, Health Indicator (HI) computation and RUL estimation. The obtained results showed that this technique can be successfully used to separate and isolate vibration trends connected to progressive degradation. The main contribution of this work consists in proposing a monotonically increasing HI which maintains a physical meaning allowing to estimate the degradation level. The proposed HI has proven to be able to effectively quantify the level of degradation and predict it for a certain group of degradation evolution profiles.

 

 

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