PROJECT TITLE :

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

ABSTRACT:

The remaining helpful life (RUL) prediction of rolling component bearings has attracted substantial attention recently thanks to its importance for the bearing health management. The exponential model is one of the foremost widely used ways for RUL prediction of rolling part bearings. However, 2 shortcomings exist in the exponential model: one) the first predicting time (FPT) is chosen subjectively; and 2) random errors of the stochastic method decrease the prediction accuracy. To cope with these two shortcomings, an improved exponential model is proposed during this paper. In the improved model, an adaptive FPT selection approach is established primarily based on the interval, and particle filtering is utilised to scale back random errors of the stochastic process. So as to demonstrate the effectiveness of the improved model, a simulation and 4 tests of bearing degradation processes are utilized for the RUL prediction. The results show that the improved model is in a position to pick an acceptable FPT and reduce random errors of the stochastic method. Consequently, it performs higher in the RUL prediction of rolling element bearings than the initial exponential model.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : IPFS and Blockchain based Reliability and availability improvement for integrated Rivers’ streamflow data ABSTRACT: The collection of data on streamflow using a variety of methods and the dissemination of
PROJECT TITLE : Fully Dynamic k-Center Clustering with Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter ABSTRACT: The detection and elimination of dangerous social bots in social media has piqued commercial and academic interest.
PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry