The effective operation of aviation hydraulic pumps is directly related to the safety of passengers. Accurate remaining useful life (RUL) prediction will help establish maintenance strategy, which will reduce the risks of passengers. Currently, the degradation processes developing in the aviation hydraulic pump cannot be accurately modeled, because of the complexity of the experiment and lack of data. To address the problem, we resort to a numerical approach in this paper, taking uncertainty into consideration. Wear debris features are simulated by Monte Carlo sampling from an abrasive debris generation model. The model describes the relationship between rough surfaces and abrasive debris at the microscale level. A partition-integration RUL prediction framework is proposed to apply the microscale model to the macroscale process of pump degradation. The proposed method is validated by experimental data. The results show that the model is able to cover extreme dry contact conditions and gives good results with small amounts of data.

A numerical approach for predicting the remaining useful life of an aviation hydraulic pump based on monitoring abrasive debris generation

Zio E.;Ma Z.
2020-01-01

Abstract

The effective operation of aviation hydraulic pumps is directly related to the safety of passengers. Accurate remaining useful life (RUL) prediction will help establish maintenance strategy, which will reduce the risks of passengers. Currently, the degradation processes developing in the aviation hydraulic pump cannot be accurately modeled, because of the complexity of the experiment and lack of data. To address the problem, we resort to a numerical approach in this paper, taking uncertainty into consideration. Wear debris features are simulated by Monte Carlo sampling from an abrasive debris generation model. The model describes the relationship between rough surfaces and abrasive debris at the microscale level. A partition-integration RUL prediction framework is proposed to apply the microscale model to the macroscale process of pump degradation. The proposed method is validated by experimental data. The results show that the model is able to cover extreme dry contact conditions and gives good results with small amounts of data.
2020
Axial piston pump
Oil debris detection
Remaining useful life prediction
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S088832701930740X-main.pdf

Accesso riservato

: Publisher’s version
Dimensione 3.89 MB
Formato Adobe PDF
3.89 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1160179
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 14
social impact