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 …
A review of wind turbine bearing condition monitoring: State of the art and challenges
HDM de Azevedo, AM Araújo… - … and Sustainable Energy …, 2016 - Elsevier
Since the early 1980s, wind power technology has experienced an immense growth with
respect to both the turbine size and market share. As the demand for large-scale wind …
respect to both the turbine size and market share. As the demand for large-scale wind …
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
S Buchaiah, P Shakya - Measurement, 2022 - Elsevier
The extraction of significant features is essential for efficient fault diagnosis and prognosis of
rolling element bearing. Data fusion is the predominant technology for extracting significant …
rolling element bearing. Data fusion is the predominant technology for extracting significant …
Tribological challenges and advancements in wind turbine bearings: A review
The power generation from wind farms is growing very fast all over the world, and wind
energy is now playing the most significant role to aid sustainable development since the last …
energy is now playing the most significant role to aid sustainable development since the last …
[HTML][HTML] Marine systems and equipment prognostics and health management: a systematic review from health condition monitoring to maintenance strategy
P Zhang, Z Gao, L Cao, F Dong, Y Zou, K Wang… - Machines, 2022 - mdpi.com
Prognostics and health management (PHM) is an essential means to optimize resource
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …
Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning
As a critical component, failures of high-speed shaft bearing in wind turbines cause the
unplanned stoppage of electrical energy production. Investigations related to naturally …
unplanned stoppage of electrical energy production. Investigations related to naturally …
Bearing damage assessment using Jensen-Rényi Divergence based on EEMD
Abstract An Ensemble Empirical Mode Decomposition (EEMD) and Jensen Rényi
divergence (JRD) based methodology is proposed for the degradation assessment of rolling …
divergence (JRD) based methodology is proposed for the degradation assessment of rolling …
A review on diagnostic and prognostic approaches for gears
Prognostics and health management has become a significant part of component life-cycle
in modern industries. The prognostics and health management framework is implemented in …
in modern industries. The prognostics and health management framework is implemented in …
Role of signal processing, modeling and decision making in the diagnosis of rolling element bearing defect: a review
A significant development in condition monitoring techniques has been observed over the
years. The scope of condition monitoring has been shifted from defect identification to its …
years. The scope of condition monitoring has been shifted from defect identification to its …
A novel health indicator based on information theory features for assessing rotating machinery performance degradation
A Rai, JM Kim - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
Rotating machinery is used at length in a variety of industrial applications. The continuous
monitoring of rotating machines is of excessive importance when it comes to prevent their …
monitoring of rotating machines is of excessive importance when it comes to prevent their …