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Condition monitoring of wind turbines: Techniques and methods

Fausto Pedro García Márquez, Andrew Mark Tobias, Jesús María Pinar Pérez, Mayorkinos Papaelias
2012 Renewable Energy  
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

Sujesh Kumar, M Lokesha, Kiran Kumar, K R Srinivas
2018 IOP Conference Series: Materials Science and Engineering  
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

Piotr Lipinski, Edyta Brzychczy, Radoslaw Zimroz
2020 Sensors  
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

Ameet Singh, V. Sugumaran, M. Amarnath
2016 Indian Journal of Science and Technology  
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

Kaveh Mollazade, Hojat Ahmadi, Mahmoud Omid, Reza Alimardani
2008 Zenodo  
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'

R. Tognetti, A. Massacci, G. S. Mugnozza
2011 Tree Physiology  
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

K. K. Thyagharajan, I. Kiruba Raji
2018 Archives of Computational Methods in Engineering  
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

Nilesh Dhobale, Sharad Mulik, R. Jegadeeshwaran, Abhishek Patange
2021 Sound & vibration  
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

P. R. Aguiar, R. B. Da Silva, T. M. Gerônimo, M. N. Franchin, E. C. Bianchi
2016 Journal of the Brazilian Society of Mechanical Sciences and Engineering  
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

Zijian Liu, Pinjia Zhang, Shan He, Jin Huang
2021 Energies  
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

D. Yu. Pimenov, A. Bustillo, T. Mikolajczyk
2017 Journal of Intelligent Manufacturing  
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

R. Teti, K. Jemielniak, G. O'Donnell, D. Dornfeld
2010 CIRP annals  
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

Weihua Wei, Yunyue Shang, You Peng, Rui Cong
2022 Sensors  
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

Md Khaled Hasan, Md. Shamim Ahsan, Abdullah-Al-Mamun, S. H. Shah Newaz, Gyu Myoung Lee
2021 Electronics  
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

Ayman Mohamed, Mahmoud Hassan, Rachid M'Saoubi, Helmi Attia
2022 Sensors  
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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