Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …
challenges such as complex degradation processes, varying working conditions, and …
An overview of artificial intelligence applications for power electronics
This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …
A hybrid prognostics approach for estimating remaining useful life of rolling element bearings
Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …
Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network
The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …
This article proposes a systematic prognostic scheme for rolling element bearings. The …
Machine remaining useful life prediction via an attention-based deep learning approach
For prognostics and health management of mechanical systems, a core task is to predict the
machine remaining useful life (RUL). Currently, deep structures with automatic feature …
machine remaining useful life (RUL). Currently, deep structures with automatic feature …
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
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 …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
Remaining useful life prediction based on a double-convolutional neural network architecture
Remaining useful life (RUL) prediction has been increasingly considered in many industrial
fields for the reliability and safety of their systems. As a data analysis tool of deep learning …
fields for the reliability and safety of their systems. As a data analysis tool of deep learning …
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Z Pan, Z Meng, Z Chen, W Gao, Y Shi - Mechanical Systems and Signal …, 2020 - Elsevier
Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …
Modified deep autoencoder driven by multisource parameters for fault transfer prognosis of aeroengine
The existing fault prognosis techniques of aeroengine mostly focus on a single monitoring
parameter under stable condition, and have low adaptability to new prognosis scenes. To …
parameter under stable condition, and have low adaptability to new prognosis scenes. To …