Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

As one of the key components in rotating machinery, rolling bearings can affect the running
state of equipment and even cause huge damage. Therefore, various methods have been …

Blind deconvolution algorithms prove to be effective tools for fault identification, being able
to extract excitation sources from noisy observations only. In this scenario, the present paper …

Rolling element bearing is one of the critical components in rotating machines, and its
running state determines machinery Remaining Useful Life (RUL). Estimating impending …

De-noising and extraction of the weak signature are crucial to fault prognostics in which
case features are often very weak and masked by noise. The wavelet transform has been …

Abstract Remaining Useful Life (RUL) prediction play a crucial part in bearing maintenance,
which directly affects the production efficiency and safety of equipment. Moreover, the …

For rolling bearing fault detection, it is expected that a desired time–frequency analysis
method should have good computation efficiency, and have good resolution in both time …

A novel method is proposed for quantitative and localization diagnosis of a bearing outer
ring defect in this paper. This method aims to distinguish these defects with different angular …

This paper deals with a new scheme for the prediction of a ball bearing's remaining useful
life based on self-organizing map (SOM) and back propagation neural network methods …