A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
Deep learning aided data-driven fault diagnosis of rotatory machine: A comprehensive review
This paper presents a comprehensive review of the developments made in rotating bearing
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …
fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data …
Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions
Incipient fault diagnosis of a bearing requires robust feature representation for an accurate
condition-based monitoring system. Existing fault diagnosis schemes are mostly confined to …
condition-based monitoring system. Existing fault diagnosis schemes are mostly confined to …
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network
MMM Islam, JM Kim - Computers in Industry, 2019 - Elsevier
Bearings are one of the most crucial components in many industrial machines. Effective
bearing fault diagnosis is essential for normal and safe machine operation. Existing fault …
bearing fault diagnosis is essential for normal and safe machine operation. Existing fault …
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
Induction motors most often fail due to faults in the rolling element bearings. Such failures
can cause long and unscheduled downtime in a production facility, which can result in huge …
can cause long and unscheduled downtime in a production facility, which can result in huge …
A hybrid feature model and deep-learning-based bearing fault diagnosis
Bearing fault diagnosis is imperative for the maintenance, reliability, and durability of rotary
machines. It can reduce economical losses by eliminating unexpected downtime in industry …
machines. It can reduce economical losses by eliminating unexpected downtime in industry …
Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020)
Sleep is vital for one's general well-being, but it is often neglected, which has led to an
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
[HTML][HTML] Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion strategies for energy
efficiency in buildings, where various kinds of information can be processed. However …
efficiency in buildings, where various kinds of information can be processed. However …
Bearing fault diagnosis under variable rotational speeds using stockwell transform-based vibration imaging and transfer learning
MJ Hasan, JM Kim - Applied Sciences, 2018 - mdpi.com
In this paper, discrete orthonormal Stockwell transform (DOST)-based vibration imaging is
proposed as a preprocessing step for supporting load and rotational speed invariant …
proposed as a preprocessing step for supporting load and rotational speed invariant …
HUST bearing: a practical dataset for ball bearing fault diagnosis
Objectives The rapid growth of machine learning methods has led to an increase in the
demand for data. For bearing fault diagnosis, the data acquisition is time-consuming with …
demand for data. For bearing fault diagnosis, the data acquisition is time-consuming with …