Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis - Surveillance, Vibrations, Shock and Noise Access content directly
Conference Papers Year : 2023

Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis

Abstract

Over the last decades, Prognostics has played a dominant role in preventive maintenance in manufacturing. It usually involves estimating the Remaining Useful Life (RUL) or the Time to Failure (TTF) of mechanical systems. In Prognosis, the analysis could often be purely data-driven (Trend Analysis). It requires a vast data set and offers the double benefit of being both applicable in many systems and being relatively precise. In this paper, we implemented the « Threshold Data » approach, considering the limited amount of run-to-failure data and the fact that the Bearings’ features are suitable for a degradation model creation. Moreover, this study sheds light on Cyclic Prediction Method, intending to prove that cyclic monitoring could also estimate the RUL for the bearing fault with the integrity of data, and precisely track the degradation. Firstly, different filters are compared: Simple Moving Average (SMA), Cumulative Moving Average (CMA) and Exponential Moving Average (EMA). After that, both the Principal Component Analysis (PCA) and Model Fitting are deployed in order to construct a degradation model and fit the exponential function to the last n data. Finally, using the selected indicators, we managed to estimate the RUL of the bearing cyclically, thus exhibiting accurate predictions throughout each phase of its life till failure
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Dates and versions

hal-04165638 , version 1 (19-07-2023)

Identifiers

  • HAL Id : hal-04165638 , version 1

Cite

Abderrahmane Benyagoub. Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis. Surveillance, Vibrations, Shock and Noise, Institut Supérieur de l'Aéronautique et de l'Espace [ISAE-SUPAERO], Jul 2023, Toulouse, France. ⟨hal-04165638⟩

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