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scientific.net
article
https://www.scientific.net/AMM.472.539
p.535 Prediction of the Fatigue Life for Large Wind Turbine Gearbox. p.539 Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building. HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 472Prediction of the Fatigue Life for Large Wind... Wind turbine gearbox is the key component. In this paper, obtaining the stress time histories through multi-body dynamics simulation, then base on the simulation data, statistical processing load time histories by used rain flow counting method, the last is that estimating fatigue life of components, combined with P-S-N curves of parts material and linear cumulative damage law. The fatigue life prediction of each component in gearbox would be implemented by matlab programming. Through the fatigue analysis of a megawatt-class wind turbine gearbox transmission chain, the design was verified feasibility, but not economic, and it show that this method has certain reference value and potential for improvement. [1] Zhong Hong Lei: Numerical Simulation of the Fatigue Characteristie for Large Wind Turbine Gearbox[D].
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mdpi.com
article
https://www.mdpi.com/1996-1073/10/8/1084
Short-term fatigue assessment for the gearbox is then performed using linear fatigue theory by considering WT responses under external and internal excitation.
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semanticscholar.org
article
https://www.semanticscholar.org/paper/Fatigue-Reliability-based-Inspection-an…
Abstract This paper introduces a reliability-based maintenance plan for wind turbine gearbox components. The gears and bearings are graded based on their
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past.isma-isaac.be
article
https://past.isma-isaac.be/downloads/isma2012/papers/isma2012_0452.pdf
3 Simulation To verify effectiveness of the proposed algorithm, available physical knowledge about the wind turbine drive train and the least square method is used for identifying the augmented state-space model of the wind turbine suitable for shaft torque estimation. 4 Conclusions In this work, the augmented Kalman filter for the real time estimation of the wind turbine gearbox fatigue load, called shaft torque, was designed. The state-space model of the wind turbine drive train, suitable for dynamic shaft torque estimation, was identified from physical knowledge about the mechanical system and the simulated data.
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atten2.com
article
https://atten2.com/en/knowledge/how-can-the-gearbox-condition-affect-the-usef…
**Among the items that undergo mechanical wear in wind turbines, the most critical is multiplier**, the part that transforms the low number of revolutions per minute transmitted by the hub, where the blades of the wind turbine are fitted and the rotor is supported, to the high number of revolutions per minute that the generator needs to produce energy. **The multiplier is a vital part in a wind turbine** and, in view of the critical nature of the breakdowns that can occur in this component, it is the focal point of the preventive maintenance efforts in a wind installation. The operators of installations of between 40 and 50 wind turbines invest around 150m000 euros every year in maintenance and repairing breakdowns of these mechanical components. With regard to the different types of failures, a study carried out by Atten2 shows that **out of every 10 failures, 9 can be repaired and one requires the replacement of the multiplier**, with an estimated cost of between 77,000 and 300,000 euros depending on the power of the wind turbine.
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manufacturer.hzpt.com
article
https://manufacturer.hzpt.com/gearbox-component-fatigue-analysis-and-life-ext…
In this blog post, we will explore the topic of gearbox component fatigue analysis and various techniques to extend its life.
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midwestpowerproducts.com
article
https://www.midwestpowerproducts.com/feeds/blog/wind-turbine-gearbox
If you manage procurement, operations, or engineering, you already deal with the stress of sourcing reliability, controlling downtime, and avoiding repeat failures across your fleet. In this blog, we’ll explore where gearboxes fit in turbine setups, what drives lifetime, why failures occur, how sourcing choices affect risk, and the practices that support stable performance across wind assets. * **Gearbox reliability** is crucial for turbine uptime, reducing maintenance costs, and avoiding long downtimes. * **Proactive monitoring** and choosing the right supplier with strong support and reliable parts availability help minimize gearbox failures and extend turbine performance. Gearboxes influence how long turbines remain available, how predictable maintenance cycles are, and how well teams manage repair exposure during demanding operating conditions. * **Lead-Time Pressure:** Lead times for replacement units affect turbine availability, spare-parts planning, and the ability to maintain stable production targets across the fleet. * **Maintenance Load:** Poor gearbox performance increases the load on service teams, raising inspection frequency and creating pressure across lubrication, monitoring, and parts inventory planning.
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docs.nlr.gov
official
https://docs.nlr.gov/docs/fy07osti/41548.pdf
Available electronically at http://www.osti.gov/bridge Available for a processing fee to U.S. Department of Energy and its contractors, in paper, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62 Oak Ridge, TN 37831-0062 phone: 865.576.8401 fax: 865.576.5728 email: mailto:reports@adonis.osti.gov Available for sale to the public, in paper, from: U.S. Department of Commerce National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 phone: 800.553.6847 fax: 703.605.6900 email: orders@ntis.fedworld.gov online ordering: http://www.ntis.gov/ordering.htm Printed on paper containing at least 50% wastepaper, including 20% postconsumer waste Improving Wind Turbine Gearbox Reliability Walt Musial Sandy Butterfield National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard 1617 Cole Boulevard Golden, CO 80401 USA Golden, CO 80401 USA walter_musial@nrel.gov sandy_butterfield@rel.gov +1 303 384 6956 +1 303 384 6902 +1 303 384 6901 (fax) +1 303 384 6901 (fax) Brian McNiff McNiff Light Industry 46 Dog Island Road Harborside, ME 04642 USA brian@mcnifflight.com +1 207 326 7148 Summary This paper describes a new research and development initiative to improve gearbox reliability in wind turbines begun at the National Renewable Energy Laboratory (NREL) in Golden, Colorado, USA.