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Condition monitoring of wind turbines: Techniques and methods
2012
Renewable Energy
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Condition monitoring (CM) is a tool commonly employed for the early detection of faults/failures so as to minimise downtime and maximize productivity. ...
Future research opportunities in fault diagnostics are identified using a qualitative fault tree analysis. Crown García Márquez), a.m.tobias@bham.ac.uk (A.M. Tobias), jesusmaria.pinar@uclm.es (J.M. ...
Fig. 6 . 6 Fault tree for WT.
"Development and Demonstration of a Novel Integrated Condition Monitoring System for Wind Turbines" (NIMO, Ref.:FP7-ENERGY-2008-TREN-1: 239462, www.nimoproject.eu). ...
doi:10.1016/j.renene.2012.03.003
fatcat:hevhium4brai7dj5wjtunf2tmi
Vibration based Fault Diagnosis Techniques for Rotating Mechanical Components: Review Paper
2018
IOP Conference Series: Materials Science and Engineering
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For detecting faults and monitoring the condition of a belt drive, the vibration signal can be used as one of the parameter. ...
Different signal processing techniques are used for processing these signals. The various techniques used for fault diagnosis based on vibration analysis method are discussed in this paper. ...
The system failure was estimated by using the model energy associated with the deterioration in gear condition. ...
doi:10.1088/1757-899x/376/1/012109
fatcat:emw2magtdbe3tc7l6d2tetys5e
Decision Tree-Based Classification for Planetary Gearboxes' Condition Monitoring with the Use of Vibration Data in Multidimensional Symptom Space
2020
Sensors
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Monitoring the condition of rotating machinery, especially planetary gearboxes, is a challenging problem. ...
The diagnostics of time-varying systems are a complicated issue due to time-varying probability densities estimated for features. ...
Acknowledgments: Calculations have been carried out using resources provided by Wroclaw Centre for Networking and Supercomputing (http://wcss.pl), grant No. 405. ...
doi:10.3390/s20215979
pmid:33105712
fatcat:7vbhsioz4nevvovyds2otg47nq
Fault Diagnosis of Helical Gearbox through Vibration Signals using J48 Decision Tree and Wavelet
2016
Indian Journal of Science and Technology
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This study determines the usage of machine learning algorithm for condition monitoring of helical gearbox. ...
By using Discrete Wavelet Transform (DWT) feature extraction was done. The feature selection and feature classification was done by using J48 algorithm and subsequent results were observed. ...
Condition monitoring is very much necessary as it monitors the defects in a system. This technique provides useful and reliable information; hence, bringing cost benefits to industry. ...
doi:10.17485/ijst/2016/v9i33/101338
fatcat:optjdtdhenhjfks5o6bep4t3nu
An Intelligent Combined Method Based On Power Spectral Density, Decision Trees And Fuzzy Logic For Hydraulic Pumps Fault Diagnosis
2008
Zenodo
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Recently, the issue of machine condition monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved ...
system (FIS). ...
Vibration analysis has been used in rotating machines fault diagnosis for decades. ...
doi:10.5281/zenodo.1055695
fatcat:qedjfnyc6vh6hnzua7nrbpo46e
Fifth International Poplar Symposium: 'Poplars and willows: from research models to multipurpose trees for a bio-based society'
2011
Tree Physiology
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i.e., the woody stems in short rotation coppice used as a renewable energy crop. ...
This is to a large extent dependent on the high productivity with short rotation times, but also on working market conditions and on the possibility to use conventional forestry technique at harvest. ...
Techniques used for investigating root development are whole tree root excavation, and root coring. ...
doi:10.1093/treephys/tpr117
pmid:22158009
fatcat:jx4k6kx2ircafkzp6c5pmc6y6e
A Review of Visual Descriptors and Classification Techniques Used in Leaf Species Identification
2018
Archives of Computational Methods in Engineering
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2020 pre-print arXiv:2009.06001v1 fatcat:lru32whpmjdmlkrl4h67edfasi
Key research areas in plant science include plant species identification, weed classification using hyper spectral images, monitoring plant health and tracing leaf growth, and the semantic interpretation ...
In our study, we also discuss certain machine learning classifiers for an analysis of different species of leaves. ...
In [47] , the authors estimated the tooth's area, perimeter and internal angles for the whole tooth of Tilla trees by applying the toothfinding algorithm. ...
doi:10.1007/s11831-018-9266-3
fatcat:xa4zxzfhjbgnhkv4h2xu5axhqy
Supervision of Milling Tool Inserts using Conventional and Artificial Intelligence Approach: A Review
2021
Sound & vibration
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Tool supervision helps to understand tool condition, dimensional accuracy, and surface superiority. ...
This paper presents different conventional and artificial intelligence techniques for tool supervision in the processing procedures that have been depicted in writing. ...
Introduction A Tool Condition Monitoring (TCM) is a predictive maintenance system used for mechanical systems or machine tools that monitors the condition of a cutting tool in a machine. ...
doi:10.32604/sv.2021.014224
fatcat:knlg35gatvfmfnsj5tjwhu3nfy
Estimating high precision hole diameters of aerospace alloys using artificial intelligence systems: a comparative analysis of different techniques
2016
Journal of the Brazilian Society of Mechanical Sciences and Engineering
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RBF) neural network were trained to estimate the diameter of machined holes. The multisensory approach includes an acoustic emission sensor, accelerometer, dynamometer and an electric power sensor. ...
of the estimate. ...
An approach for controlling machining processes consists of tool condition monitoring. ...
doi:10.1007/s40430-016-0525-7
fatcat:t6svdkytincsdaxgfstvqxhcnu
A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines
2021
Energies
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Nonetheless, the research routes of modeling and diagnosis are common, regardless of machine or eccentricity types. ...
A variety of diagnostic theories and methods have been proposed based on different mechanisms, and there are reviews following either one type of electric machines or one type of eccentricity. ...
Energies 2021, 14, 4296 ...
doi:10.3390/en14144296
fatcat:b3jeemn2pzekbfxb37pyc67m6u
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
2017
Journal of Intelligent Manufacturing
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It can likewise estimate the three parameters -maximum tool wear, machining time, and cutting power-that are required to generate a given surface roughness, thereby making the most efficient use of the ...
This method ensures comprehensive use of the potential of modern CNC machines that are able to monitor the main drive power, N , in real-time. ...
Many modern machines have such systems, which means that they are low-cost and can be used for online monitoring (Niaki and Mears 2017; Niaki et al. 2015) . ...
doi:10.1007/s10845-017-1381-8
fatcat:lsdkvzeb7ncg5p5exdxiscdkpy
Advanced monitoring of machining operations
2010
CIRP annals
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A B S T R A C T CIRP has had a long history of research and publication on the development and implementation of sensor monitoring of machining operations including tool condition monitoring, unmanned ...
This keynote follows a recent update of the literature on tool condition monitoring and documents the work of the cutting scientific technical committee in CIRP. ...
The funding and support of the EC FP6 NoE on Innovative Production Machines and Systems (I*PROMS) is acknowledged. ...
doi:10.1016/j.cirp.2010.05.010
fatcat:wunja27dajbt7p3owvnpknrov4
Research Progress of Noise in High-Speed Cutting Machining
2022
Sensors
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The practical application value of condition monitoring based on acoustic signals in high-speed machining is highlighted. ...
To conduct an in-depth study of noise in high-speed cutting machining, this work reviews noise sources, noise collection and numerical recognition, noise control, and condition monitoring based on acoustic ...
[30] developed a tool condition monitoring system that predicts tool wear by measuring noise signals generated by machine spindles. ...
doi:10.3390/s22103851
pmid:35632259
pmcid:PMC9146239
fatcat:4ki2oonrdrfztccz4uxuklgpca
Human Face Detection Techniques: A Comprehensive Review and Future Research Directions
2021
Electronics
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Face detection, which is an effortless task for humans, is complex to perform on machines. ...
Earlier survey papers on face detection algorithms are limited to just technical details and popularly used algorithms. ...
Energy Efficient Algorithms Digital photo management tools, such as Google Photos, Apple's iPhoto, etc., and most of the mobile phones and digital cameras have built-in face detection systems. ...
doi:10.3390/electronics10192354
fatcat:oy7adwj6cjefnm66cn5kxrybni
Tool Condition Monitoring for High-Performance Machining Systems—A Review
2022
Sensors
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Tool condition monitoring (TCM) systems pave the way for automated machining through monitoring the state of the cutting tool, including the occurrences of wear, cracks, chipping, and breakage, with the ...
This article reviews the state-of-the-art TCM system components, namely, means of sensing, data acquisition, signal conditioning and processing, and monitoring models, found in the recent open literature ...
Tool condition monitoring in machining processes.
Figure 1 . 1 Figure 1. Tool condition monitoring in machining processes.
Figure 2 . 2 Figure 2. Arbitrary tree for data fusion levels. ...
doi:10.3390/s22062206
pmid:35336377
pmcid:PMC8950983
fatcat:vv47nxqxzjdz3isey2kglvpb54
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