Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
Authors
Keywords
-
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 181, Issue -, Pages 109504
Publisher
Elsevier BV
Online
2022-07-07
DOI
10.1016/j.ymssp.2022.109504
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
- (2021) Omar AlShorman et al. Advances in Mechanical Engineering
- Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective
- (2021) Sarthak Chatterjee et al. INTERNATIONAL JOURNAL OF CONTROL
- Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification
- (2020) Emmanuel Ramasso et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Acoustic emission analysis using Bayesian model selection for damage characterization in ceramic matrix composites
- (2020) Takayuki Shiraiwa et al. JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
- Space–time series clustering: Algorithms, taxonomy, and case study on urban smart cities
- (2020) Asma Belhadi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems
- (2020) Yunze He et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Tool wear evaluation under minimum quantity lubrication by clustering energy of acoustic emission burst signals
- (2019) Chengdong Wang et al. MEASUREMENT
- Acoustic emission Bayesian source location: Onset time challenge
- (2019) Ramin Madarshahian et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Machine learning based crack mode classification from unlabeled acoustic emission waveform features
- (2019) Avik Kumar Das et al. CEMENT AND CONCRETE RESEARCH
- Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling
- (2019) R. Fuentes et al. RENEWABLE ENERGY
- Cluster analysis of acoustic emission signals and deformation measurement for delaminated glass fiber epoxy composites
- (2018) Wei Zhou et al. COMPOSITE STRUCTURES
- Using acoustic emission signal categorization for reconstruction of wear development timeline in tribosystems: Case studies and application examples
- (2018) I.A. Rastegaev et al. WEAR
- Continuous monitoring of tightening condition of single-lap bolted composite joints using intrinsic mode functions of acoustic emission signals: a proof-of-concept study
- (2018) Zhen Zhang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition
- (2018) Suresh Kumar Chelliah et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Online feature learning for condition monitoring of rotating machinery
- (2017) S. Martin-del-Campo et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications
- (2017) Md Yeasin Bhuiyan et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- A mel-frequency cepstral coefficient-based approach for surface roughness diagnosis in hard turning using acoustic signals and gaussian mixture models
- (2016) Edielson P. Frigieri et al. APPLIED ACOUSTICS
- Mechanical behaviour and damage mechanisms analysis of a flax-fibre reinforced composite by acoustic emission
- (2016) Arthur Monti et al. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
- A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites
- (2016) M. Kharrat et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Unsupervised learning for classification of acoustic emission events from tensile and bending experiments with open-hole carbon fiber composite samples
- (2015) Hisham A. Sawan et al. COMPOSITES SCIENCE AND TECHNOLOGY
- Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites
- (2015) Emmanuel Ramasso et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- On the applicability of acoustic emission to identify modes of damage in full-scale composite fuselage structures
- (2015) Jonathan Awerbuch et al. JOURNAL OF COMPOSITE MATERIALS
- Wavelet packet transform for detection of single events in acoustic emission signals
- (2015) Davide Bianchi et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials
- (2015) D.D. Doan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wavelet based approach to signal activity detection and phase picking: Application to acoustic emission
- (2015) E. Pomponi et al. SIGNAL PROCESSING
- Pattern recognition approach to identify natural clusters of acoustic emission signals
- (2011) M.G.R. Sause et al. PATTERN RECOGNITION LETTERS
- A review on time series data mining
- (2010) Tak-chung Fu ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Combining Mixture Components for Clustering
- (2010) Jean-Patrick Baudry et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring
- (2009) T. Warren Liao ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started