Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network
Roller bearings form key components in many machines and, as such, their health status
can directly influence the operation of the entire machine. Acoustic signals collected from …
can directly influence the operation of the entire machine. Acoustic signals collected from …
Energy-based acoustic source localization methods: a survey
W Meng, W Xiao - Sensors, 2017 - mdpi.com
Energy-based source localization is an important problem in wireless sensor networks
(WSNs), which has been studied actively in the literature. Numerous localization algorithms …
(WSNs), which has been studied actively in the literature. Numerous localization algorithms …
Chemical characteristics and source apportionment of PM2. 5 using PMF modelling coupled with 1-hr resolution online air pollutant dataset for Linfen, China
The chemical species in PM 2.5 and air pollutant concentration data with 1-hr resolution
were monitored synchronously between 15 November 2018 and 20 January 2019 in Linfen …
were monitored synchronously between 15 November 2018 and 20 January 2019 in Linfen …
A modified viterbi algorithm-based if estimation algorithm for adaptive directional time–frequency distributions
Abstract Time–frequency (TF)-based instantaneous frequency estimation algorithms fail to
achieve the desired performance when the underlying TF distribution suffers from low …
achieve the desired performance when the underlying TF distribution suffers from low …
Incipient fault detection of wind turbine large-size slewing bearing based on circular domain
Y Pan, R Hong, J Chen, Z Qin, Y Feng - Measurement, 2019 - Elsevier
Incipient fault detection of wind turbine large-size slewing bearings is crucial to their high
availability and profitable operation. Many studies have been conducted using time-domain …
availability and profitable operation. Many studies have been conducted using time-domain …
Adaptive variational mode decomposition based on artificial fish swarm algorithm for fault diagnosis of rolling bearings
The bearing fault diagnosis is of vital significance in maintaining the safety of rotation
machine. Among various fault detection techniques, the diagnosis based on vibration signal …
machine. Among various fault detection techniques, the diagnosis based on vibration signal …
Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes
Instantaneous frequency (IF) estimation of multi-component signals with closely spaced and
intersecting signal components of varying amplitudes is a challenging task. This paper …
intersecting signal components of varying amplitudes is a challenging task. This paper …
Bearing fault diagnosis based on an improved morphological filter
The extraction of repetitive impacts from vibration signals plays an essential role in bearing
fault detection. Among different signal processing algorithms, morphological filter (MF) has …
fault detection. Among different signal processing algorithms, morphological filter (MF) has …
Wayside acoustic detection of train bearings based on an enhanced spline-kernelled chirplet transform
Wayside acoustic detection is an effective and economical technology for fault diagnosis of
train bearings. However, the technology has two main problems: Doppler Effect distortion …
train bearings. However, the technology has two main problems: Doppler Effect distortion …
[HTML][HTML] Decomposition algebras and axial algebras
T De Medts, SF Peacock, S Shpectorov… - Journal of Algebra, 2020 - Elsevier
We introduce decomposition algebras as a natural generalization of axial algebras,
Majorana algebras and the Griess algebra. They remedy three limitations of axial …
Majorana algebras and the Griess algebra. They remedy three limitations of axial …