A Hybrid Model to Predict Remaining Useful Life for a Ball Bearing

Bearings are a vital part of rotating machinery, it's very important to understand the parameters affecting its performance and to find its Remaining Useful Life (RUL). To predict the RUL of a defected bearing, we have used a hybrid model Combining the physics-based models with data-based model i.e., tuning the parameters of the physics-based equations with data from Finite Element Simulations, then interpolating for the remaining values gives us a broad look over the correlation between the parameters. In this paper, we have used a modified rating life equation, L-nmr, as given in ISO 16281. The model is robust, we have tried to consider every parameter that can affect RUL as a variable. Results are graphically represented for a better understanding of how the RUL is getting affected with the change in range of parameters.