Search results for "Prognostics"

showing 5 items of 15 documents

A Review on Approaches for Condition Based Maintenance in Applications with Induction Machines located Offshore

2012

Published version of an article in the journal: Modeling, Identification and Control. Also available from the publisher at: http://dx.doi.org/10.4173/mic.2012.2.4 Open access This paper presents a review of different approaches for Condition Based Maintenance (CBM) of induction machines and drive trains in offshore applications. The paper contains an overview of common failure modes, monitoring techniques, approaches for diagnostics, and an overview of typical maintenance actions. Although many papers have been written in this area before, this paper puts an emphasis on recent developments and limits the scope to induction machines and drive trains applied in applications located offshore.

Signal processingEngineeringGearboxDrivetrainlcsh:QA75.5-76.95wind turbineInduction machineDiagnosticsPrognosticsbusiness.industryCondition-based maintenanceVDP::Technology: 500Electrical engineeringCondition monitoringComputer Science ApplicationsCondition monitoringIdentification (information)Induction machineControl and Systems EngineeringModeling and SimulationBearingPrognosticslcsh:Electronic computers. Computer scienceSoftware engineeringbusinessSoftwareModeling, Identification and Control
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Weather sensor fault detection in meteorological masts

2020

Wind power has become the world’s fastest growing renewable technology. The world-wide wind power installed capacity has exceeded 597 GW, and the new installations during the last three years was an average of 50 GW per year. A major issue with wind power system and with meteorological masts is the relatively high cost of operation and maintenance (OM). Wind turbines and sensor towers are hard-to-access structures, and they are often located in remote areas. That’s why continuous monitoring of wind turbine health using automated failure detection algorithms can improve turbine reliability and reduce maintenance costs by detecting failures before they reach a catastrophic stage and by elimin…

Wind powerSCADAbusiness.industryPrognosticsEnvironmental scienceComputerApplications_COMPUTERSINOTHERSYSTEMSAnomaly detectionbusinessTurbineMaintenance engineeringTowerFault detection and isolationMarine engineering2020 IEEE Congreso Bienal de Argentina (ARGENCON)
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An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions: the SUDMED Program

2008

International audience; Recent efforts have been concentrated in the development of models to understand and predict the impact of environmental changes on hydrological cycle and water resources in arid and semi-arid regions. In this context, remote sensing data have been widely used to initialize, to force, or to control the simulations of these models. However, for several reasons, including the difficulty in establishing relationships between observational and model variables, the potential offered by satellite data has not been fully used. As a matter of fact, a few hydrological studies that use remote sensing data emanating from different sources (sensors, platforms) have been performe…

[SPI.OTHER]Engineering Sciences [physics]/OtherProcess modeling010504 meteorology & atmospheric sciencesARID ZONECLIMATE CHANGE0207 environmental engineeringClimate changeContext (language use)02 engineering and technology01 natural sciencesREMOTE SENSING[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsSemi-aridWater cycle[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment020701 environmental engineering0105 earth and related environmental sciencesRemote sensingSEMI ARID ZONEArid6. Clean waterWater resources13. Climate actionRemote sensing (archaeology)WATER BUDGETGeneral Earth and Planetary SciencesPrognosticsEnvironmental scienceland-surface interactions
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Artificial Intelligence in Monitoring and Diagnostics of Electrical Energy Conversion Systems

2020

Diagnostics and prognostics of electrical energy conversion systems are moving forward with the rapid development of IT and artificial intelligence possibilities. This also broadens the horizons for classical and advanced condition and operation monitoring techniques, resulting in more accurate fault detection, degradation prognosis and calculation of remaining life of energy conversion systems, utilized in every aspect and field of industry today. This paper gives an overview of the necessity for condition monitoring and diagnostics of the mentioned systems, explaining the classical and advanced techniques for diagnostics. Methodology to diagnose and prognose the energy conversion units, w…

business.industryComputer scienceElectric potential energyState of artPrognosticsCondition monitoringEnergy transformationArtificial intelligencebusinessMaintenance engineeringFault detection and isolationField (computer science)2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED)
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Toward farm-level health management of wind turbine systems: status and scope for improvements

2018

An outline of health management for OWFs has been detailed in this chapter with description of various important elements. The need for such farm level management is explained and benefits are discussed. Key gaps to be filled in order to realize such a system are identified. The proposed health management system is mainly based on the existing knowledge of fleet-level management in the aerospace sector. Health management is much broader than CM; there are a number of aspects beyond the prognostics capabilities that are to be designed in order to arrive at a comprehensive maintenance management scheme. A comprehensive maintenance program that is sensitive to the health of the assets and adap…

reliabilityWind powerHealth management systemScope (project management)business.industryComputer sciencecondition monitoringwind power plantsSchedule (project management)wind powerMaintenance engineeringoffshore installationsOffshore wind powerResource (project management)Risk analysis (engineering)wind turbinesPrognosticshealth and safetymaintenance engineeringmaintenance engineering; wind turbines; condition monitoring; wind power plants; health and safety; offshore installations; wind power; reliabilitybusiness
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