A smart factory is a highly digitized and connected production facility that relies on smart
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …

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 …

In industrial manufacturing systems, failures of machines caused by faults in their key
components greatly influence operational safety and system reliability. Many data-driven …

Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …

The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …

In general, fault prognosis research usually leads to the research of remaining useful life
prediction and performance prediction (prediction of target feature), which can be regarded …

Rotating machinery is important to industrial production. Any failure of rotating machinery,
especially the failure of rolling bearings, can lead to equipment shutdown and even more …

In the context of industrial big data, the data-driven remaining useful life prediction for rolling
bearings has been greatly developed. Aimed at the shortcomings of feature selection …

In recent years, the Remaining Useful Life (RUL) prediction has become a hot spot in
Prognostics and Health Management (PHM) research. High-accuracy RUL prediction can …

Rolling element bearings (REBs) are usually considered among the most critical elements of
rotating machines. Therefore, accurate prediction of remaining useful life (RUL) of REBs is a …