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Dynamic fusion of classifiers for fault diagnosis
2007
2007 IEEE International Conference on Systems, Man and Cybernetics
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Here, we discuss dynamic fusion of classifiers which is a special case of the dynamic multiple fault diagnosis (DMFD) problem [1]-[3]. ...
detection using pattern recognition techniques (support vector machines in this paper), and (4) dynamic fusion of classifiers output labels over time using the DMFD algorithm. ...
DYNAMIC MULTIPLE FAULT DIAGNOSIS (DMFD) PROBLEM Our dynamic fusion process is based on an optimization framework that computes the most likely fault sequence over time. ...
doi:10.1109/icsmc.2007.4414167
dblp:conf/smc/SinghCKPNCPQ07
fatcat:kivld7nhfnex3pkaoy7wdhgmr4
An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process
2024
Sustainability
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Constructing an accurate and robust fault diagnosis model based on class imbalance data proves challenging, leading to considerable instances of false positives and false negatives. ...
To address class imbalance problems in fault diagnosis of mechanical equipment, widely practiced techniques include virtual sample generation (VSG) and transfer learning. ...
Data Availability Statement: The data presented in this study are available on request from the corresponding author. ...
doi:10.3390/su16052042
fatcat:ilxbnayj2nhtfabyxpv3jkbs7u
Deep Learning in Diverse Intelligent Sensor Based Systems
2022
Sensors
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With the rapid development of deep learning technology and its ever-increasing range of successful applications across diverse sensor systems, there is an urgent need to provide a comprehensive investigation ...
for deep learning practitioners and those seeking to innovate deep learning in this space. ...
[523] investigated the latest deep learning based methods for machinery fault diagnostics. Wang et al. [524] proposed a wavelet-based CNN to achieve automatic machinery fault diagnosis. ...
doi:10.3390/s23010062
pmid:36616657
pmcid:PMC9823653
fatcat:riifuhqtnrbrrkat26mxummwd4
Program
2020
2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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In this paper, a graph-based semi-supervised learning (GSSL) method is proposed for fault diagnosis of direct online induction motors using stator current and vibration signals. ...
Canny edge detection proved less noisy than Laplacian of Gaussian filters and more robust to environmental changes than Otsu's method. ...
In addition to this, multi-objective optimization is also attained through True Pareto based optimization. ...
doi:10.1109/ccece47787.2020.9255763
fatcat:mpf7smikpfc77bu73ciqstdagm
Wind turbine drivetrains: state-of-the-art technologies and future development trends
2022
Wind Energy Science
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Often these systems are based on using fuzzy logic to determine a diagnosis for anomalies. ...
To overcome this and the aforementioned challenges, two key aspects need to be addressed in further research: fault diagnosis algorithm -the distinct feature extraction of specific fault mechanisms in ...
doi:10.5194/wes-7-387-2022
fatcat:66ekt522dngtrhvbyipjv3cbgm
Wind turbine drivetrains : state-of-the-art technologies and future development trends
2022
Wind energy science : WES 7(1)
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Often these systems are based on using fuzzy logic to determine a diagnosis for anomalies. ...
To overcome this and the aforementioned challenges, two key aspects need to be addressed in further research: fault diagnosis algorithm -the distinct feature extraction of specific fault mechanisms in ...
doi:10.18154/rwth-2022-02485
fatcat:47xt7omewvb3temo4iwwssy464
Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud
2023
Intelligent Automation and Soft Computing
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Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system. ...
The proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing healthcare systems. ...
A probabilistic classifier chain has been implemented to obtain the joint probability distribution of multi-label classification by effectively handling the missing and noisy labels. ...
doi:10.32604/iasc.2023.029669
fatcat:cqwixj3m3vey3ikappkmzx44a4
A Survey on Industrial Control System Testbeds and Datasets for Security Research
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2102.05631v1 fatcat:ivkqceb7hngnhnurkntzshdxr4Other Versions
In dealing with this security requirement, the research community focuses on developing new security mechanisms such as Intrusion Detection Systems (IDSs), facilitated by leveraging modern machine learning ...
Furthermore, we enrich our work by reporting the best performing IDS algorithms tested on every dataset to create a baseline in state of the art for this field. ...
It can be used for investigating fault diagnosis, cybersecurity strategies, and testing control algorithms. The testbed is designed to emulate a simple water distribution system's behavior. ...
arXiv:2102.05631v3
fatcat:2kmqsd5cozhijllwlspobrjezq
Modelling the dynamic pattern of surface area in basketball and its effects on team performance
2018
Journal of Quantitative Analysis in Sports (JQAS)
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Using a time series of basketball players' coordinates, we focus on the dynamics of the surface area of the five players on the court with a two-fold purpose: (i) to give tools allowing a detailed description ...
and analysis of a game with respect to surface areas dynamics and (ii) to investigate its influence on the points made by both the team and the opponent. ...
we label angle-based models for ranking data. ...
doi:10.1515/jqas-2018-0041
fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m
Intelligent Techniques for Detecting Network Attacks: Review and Research Directions
2021
Sensors
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In the literature, there are various descriptions of network attack detection systems involving various intelligent-based techniques including machine learning (ML) and deep learning (DL) models. ...
The significant growth in the use of the Internet and the rapid development of network technologies are associated with an increased risk of network attacks. ...
on validation faults. ...
doi:10.3390/s21217070
pmid:34770375
pmcid:PMC8587628
fatcat:tnedw4hhcze7foqps3jfpiog7u
Intrusion-Detection Systems
[chapter]
2012
Handbook of Computer Networks
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The series also serves as a forum for topics that may not have reached a level Researchers, as well as developers, are encouraged to contact Professor Sushil Jajodia with VULNERABILITY ANALYSIS ...
The scope of this series includes all aspects of computer and network security and related areas such as fault tolerance ADVANCES IN INFORMATION SECURITY aims to publish thorough and cohesive overviews ...
Moreover, the learning algorithm architecture, which is based on an abstraction mechanism, is described into details. ...
doi:10.1002/9781118256107.ch26
fatcat:aeidzkegvfc27dqqmztiayv3dm
Certifying Unstability of Switched Systems Using Sum of Squares Programming
2020
SIAM Journal of Control and Optimization
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We, however, explore the stability properties of the slow-fast mechanical system via the passivity properties of Σ 1 and Σ 2 together with the interconnection which leads to (3). ...
Specifically, we focus on the interpretation of the timescales involved in such a process. ...
. . . . . . . . . . . . . . . . . . . . . 142 Fault diagnosis on a hydraulic pitch system based on frequency domain identification . . . . . . . . 143 Sandra Vásquez Université Libre de Bruxelles -Vrije ...
doi:10.1137/18m1173460
fatcat:ytlzbwk7vbampbuyo6snenz33m
The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping
2013
European Journal of Operational Research
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-Assessing the profitability of carsharing fleet distributions based on usage patterns Mathias Goeppel, GR/PAP, Daimler AG, Building 10, Room 2.3.036, One-way carsharing as seen with car2go, where vehicle ...
However, MIP models have difficulties including reality-based factors that can have a substantial impact on carsharing. ...
We formulate the problem as one of learning a mapping from observations to structured labels, where the labels are event sequences, and employ max-margin Markov networks to achieve a max-margin solution ...
doi:10.1016/j.ejor.2012.08.016
fatcat:c27kagfnxnhjfbil2rydhjhomm
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
[article]
2021
arXiv
pre-print
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learning (FL). ...
The Internet of Things (IoT) is on the verge of a major paradigm shift. ...
based on. ...
arXiv:2111.05326v1
fatcat:bbgdhtuqcrhstgakt2vxuve2ca
From Data to Software to Science with the Rubin Observatory LSST
[article]
2022
arXiv
pre-print
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Much of this research will depend on the existence of robust, tested, and scalable algorithms, software, and services. ...
It identified seven key software areas of need: (i) scalable cross-matching and distributed joining of catalogs, (ii) robust photometric redshift determination, (iii) software for determination of selection ...
We believe that most of the above can be done with existing infrastructure as the above queries can be written in SQL and executed with Qserv. ...
arXiv:2208.02781v1
fatcat:nt2uwu72mnextiixwhdrkft2zi
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