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Genetic Algorithms for Artificial Neural Net-based Condition Monitoring System Design for Rotating Mechanical Systems
[chapter]
Advances in Soft Computing
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) for condition monitoring of mechanical systems. ...
We present the results of our investigation into the use of Genetic Algorithms (GA) for identifying near optimal design parameters of Diagnostic Systems that are based on Artificial Neural Networks (ANNs ...
Acknowledgments The authors would like to thank the Woodroof School of Mechanical Engineering, and the Intelligent Control Systems Laboratory at the School of Electrical and Computer Engineering, the Georgia ...
doi:10.1007/3-540-31662-0_11
dblp:conf/softco/SaxenaS04
fatcat:cxawq34lszdrdc2unvh27or2ey
The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey
2021
American Journal of Artificial Intelligence
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AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems) ...
In this paper, an attempt is made to review the role of artificial intelligence in condition monitoring and diagnostic engineering management of modern engineering assets. ...
Moreover, the Poka-yoke system that developed can be used to monitor machine condition automatically. (d) Genetic Algorithms: Genetic algorithms (GAs) were developed in the mid-1960s. ...
doi:10.11648/j.ajai.20210501.12
fatcat:gvplqmpqubdw3pquik5eavux5u
Use of MCDM and AI Techniques for Mechanization of In-Service Inspection Planning Process
[chapter]
2014
IFIP Advances in Information and Communication Technology
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It also provides evidence about the suitability of AI techniques in relation to fuzzy logic and artificial neural networks for the mechanization of the inspection planning process in a dynamic manner. ...
In order to mechanize the overall inspection process, suitable techniques need to be identified for the different activities carried out in a generic inspection planning process. ...
Acknowledgements The authors would like to thank Roy Martin Zydeman and the in-service inspection planning team in Aker Solutions Offshore Partner, Norway, for their support in this research study. ...
doi:10.1007/978-3-662-44733-8_33
fatcat:xcsiumbj5vf6vneprgsvgtaibi
Review of Soft Computing Models in Design and Control of Rotating Electrical Machines
2019
Energies
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Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines ...
Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. ...
Table 4 . 4 Artificial neural networks. ...
doi:10.3390/en12061049
fatcat:m2kcstyncbfdnbwur7mtqsucsa
APPLICATION OF PATTERN RECOGNITION TECHNIQUES FOR FAULT DETECTION OF CLUTCH RETAINER OF TRACTOR
2018
Journal of Mechanical Engineering
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<p>This study develops a technique based on pattern recognition for fault diagnosis of clutch retainer mechanism of MF285 tractor using the neural network. ...
Three different cases, such as: normal condition, bearing wears and shaft wears were applied for signal processing. ...
Nasrolah Astan for helping this research. ...
doi:10.3329/jme.v47i1.35356
fatcat:vc224gwm7bhmhfg6s6ygxyy6jy
Biological Inspiration—Theoretical Framework Mitosis Artificial Neural Networks Unsupervised Algorithm
2015
International Journal of Communications, Network and System Sciences
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It has four main distinguishing features: 1) it introduces a new simulation algorithm based on the biology; 2) it performs relatively simple arithmetic as massively parallel, during analysis of a structure ...
The modified approach to conventional Artificial Neural Networks (ANN) described in this paper represents an essential departure from the conventional techniques of structural analysis. ...
system we can know the values or results of the hidden layers of the network. 7) NTSA system introduces a new algorithm based on biology. ...
doi:10.4236/ijcns.2015.89036
fatcat:z52jjyuksfbc7cyxq2lwhgt6j4
Prediction Of Coast Down Time For Mechanical Faults In Rotating Machinery Using Artificial Neural Networks
2011
Zenodo
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In this paper, radial basis network, a new generation of artificial neural networks, has been successfully incorporated for the prediction of CDT for misalignment and unbalance conditions. ...
Radial basis network has been found to be successful in the prediction of CDT for mechanical faults in rotating machinery. ...
Genetic Algorithm is used to select the most significant input features from a large set of possible features in machine condition monitoring. ...
doi:10.5281/zenodo.1072099
fatcat:jgydcfkayjbhjauerepoflaiu4
Machine Fault Diagnosis and Prognosis: The State of The Art
2009
International Journal of Fluid Machinery and Systems
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(Paper number R08030) Corresponding author: Bo-Suk Yang, Professor, bsyang@pknu.ac.kr Knowledge-Based Approaches Knowledge-based system (KBS) or expert system (ES) for fault diagnosis is performed based ...
Machine fault diagnostic and prognostic techniques have been the considerable subjects of condition-based maintenance system in the recent time due to the potential advantages that could be gained from ...
Their prognostic model included dynamic wavelet neural networks, reinforcement learning, and genetic algorithms. ...
doi:10.5293/ijfms.2009.2.1.061
fatcat:btjf42m6mbd33aszky7i4tukrq
A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
2018
Inventions
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Many studies have been made on the diagnosis and detection of mechanical components over the last few decades: a neural network (NN) algorithm for motor rolling bearing fault diagnosis [68], the artificial ...
to manufacturing systems [122], an NN analyzer for the mechanical properties of rolled steel bar [123], integrated artificial intelligent techniques for shape rolling sequences [124], the DBN method to ...
control of a three-joint robotic manipulator [135] , an ANN approach using the genetic algorithm for intelligent fixture design [136] , a survey of CPS architecture used in Industry 4.0-based manufacturing ...
doi:10.3390/inventions3030041
fatcat:6qrwhmrl2bfwrgmovqvsyx5p3y
Artificial Intelligence and Its Applications 2014
2016
Mathematical Problems in Engineering
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Compared with the holospectrum approaches, the results reveal that the proposed method is superior in identifying faults and effective for rotating machinery condition monitoring. ...
algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions ...
Acknowledgments We would like to show our appreciation to all authors for their contributions and the reviewers for their effort providing ...
doi:10.1155/2016/3871575
fatcat:irj62qjsdzfu7h4fdslkgy5hny
An Expert System Based on Parametric Net to Support Motor Pump Multi-Failure Diagnostic
[chapter]
2009
IFIP Advances in Information and Communication Technology
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The logical progression of the condition-monitoring technologies is the automation of the diagnostic process. To automate the diagnostic process, intelligent diagnostic systems are used. ...
To attend the problems related to motor pump analyses, we propose a parametric net model for multi-label problems. ...
Recent artificial intelligent techniques, such as neural networks, fuzzy logic, expert system and genetic algorithm, have been employed to assist the diagnostic task to correctly interpret the fault data ...
doi:10.1007/978-1-4419-0221-4_4
fatcat:qmdk4yes7bemjp5w7dv64ziwly
Insect Detection in Rice Crop using Google Code Lab
2021
Turkish Journal of Computer and Mathematics Education
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MLP and RBF are neural network algorithms. Clearly, the Neural Network classifier has a better presentation and precision. ...
The segmentation using HSV to input RGB image for the colour alteration structure is the most significant image processing method for this section. ...
Literature Review [8] Introduces a segregated computing design that includes basic agricultural system mechanisms are seed, sand, atmosphere, and electricity. ...
doi:10.17762/turcomat.v12i2.1977
fatcat:uc2alfvxzbbihp4svs7udktak4
Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
2018
Sensors
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The vibrations obtained were processed in the frequency domain and following this, they were used in a Genetic Neuro-Fuzzy System in order to design new predictive maintenance strategies. ...
Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. ...
The most popular AI (Artificial Intelligence) techniques for machine diagnosis are artificial neural networks and evolutionary algorithms, particularly, genetic algorithms. ...
doi:10.3390/s18093159
pmid:30235824
pmcid:PMC6164917
fatcat:hi7i5l62a5h6lgy4de7m5emwcy
Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review
2021
Journal of Vibroengineering
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Traditional time and frequency domain extraction techniques together with machine learning algorithms, both traditional and deep learning, are considered as novel approaches for the development of new ...
Until now there has been limited research into the prognosis of bearing life in rotating machines. ...
Machine Condition Monitoring (CM) is the procedure of monitoring several parameters being an indication of the mechanical condition of a rotating machine whilst it is in operation, such as vibration and ...
doi:10.21595/jve.2021.22100
fatcat:erdumydfzvg7bagqjfggy256my
Neuro-genetic adaptive attitude control
1994
Neural computing & applications (Print)
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Once the LPN has been successfully trained, at each time step a genetic algorithm searches the space of hypothetical control inputs. ...
It has previously been demonstrated that for smooth dynamic systems, using relatively few sample points from a single trajectory, a neural network can be trained to perform very accurate short term prediction ...
Neural adaptive control has been defined as the use of artificial neural networks in place of more classical mappings, within the classical designs of adaptive control theory [Miller 1990 ]. ...
doi:10.1007/bf01414807
fatcat:dbmk2iiucjbgrp5feo2mf5jx3i
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