predictive maintenance of wind turbine low-speed

Modeling and Control of Wind Turbine

In recent years the energy production by wind turbines has been increasing because its production is environmentally friendly therefore the technology developed for the production of energy through wind turbines brings great challenges in the investigation This paper studies the characteristics of the wind turbine in the market and lab it is focused on the recent advances of the wind

Offshore wind turbine fault alarm prediction

1 INTRODUCTION Offshore wind operations and maintenance (OM) costs could reach up to 30% of the total project cost 1 These costs are relatively high due to accessibility issues and the need of dedicated vessels and personnel for the turbines' repair Moreover weather limitations can delay or abort the operations which can result in longer waiting times for the turbine to be repaired

Research and Application of Condition Monitoring and Fault

In view of the wind power equipment developing rapidly but lacking effective monitoring and diagnosis methods the research status and problems worth studying are pointed out The current situation fault features and diagnostic difficulties of wind turbines are

RWE Renewables – Wind Services

Wind turbines are built to last Through our wind farm optimization program we can extend the lifetime of your wind farm even further while also increasing its performance Predictive maintenance can dramatically reduce the chance of sudden and unexpected failures of critical turbine components

Machine Learning for Long Cycle Maintenance

This dataset is a collection of wind turbine operation data maintenance time data and event code data There are 4 205 119 records in each of the operation data of the four categories: wind speed the power output of the wind turbines the oil temperature for the wind turbine gearbox and the temperature of the high-speed bearings

Predictive Maintenance for the BP Wind fleet in the USA

2018-10-23ONYX InSight's predictive analytics are now deployed at 10 BP wind farms covering 585 wind turbines 1 2 GW 5 turbine models 10 gearbox models with further expansion planned in 2019 With identified annual savings of $4 781 per turbine a typical large fleet retrofit provides $1 6M savings every year - up to 30% OM cost reduction

AEROGIDAS Predictive maintenance on wind turbines

Wind farms currently belong mostly to companies/operating companies usually unrelated to wind turbine manufacturers These organizations are finding a number of problems delays and losses related to availability due to corrective maintenance actions performed on the turbines

How tip velocity affects wind turbine design

The low tip-speed ratio case actually resulted in a cost of energy increase of 2 1% Overall the results demonstrated that there is a trade-off in system design between the maximum tip-speed and the overall wind plant cost-of-energy but also that there are several design trade-offs and design constraints that can limit the benefits of higher

Model Predictive Control for Power Optimization in a

2013-9-6model and the wind turbine is a highly nonlinear system Future work includes the optimization of MPC controller parameters to reduce the overshoot during the wind speed change and the design of multiple MPC controllers for wide operation range Keywords: Mid-sized wind turbine hydrostatic transmission wind turbulence power

RWE Renewables – Wind Services

Wind turbines are built to last Through our wind farm optimization program we can extend the lifetime of your wind farm even further while also increasing its performance Predictive maintenance can dramatically reduce the chance of sudden and unexpected failures of critical turbine components

Fault Prognostics for the Predictive Maintenance of Wind

2020-6-12for one wind turbine is about 20-30% of overall lifetime costs of energy Traditional maintenance strategies such as curative maintenance or preven-tive maintenance have a main drawback that is the fault is undergone by the system Prognostics and Health Management (PHM) or predictive maintenance

On

They can be carried out in a period of low wind speed when the WEC is off-line that is without affecting the capacity factor •Support for further development of a WEC An FDS yields detailed information on the dynamic behaviour of a wind turbine over long periods of time that may help optimizing the WEC design

Offshore wind turbine fault alarm prediction

1 INTRODUCTION Offshore wind operations and maintenance (OM) costs could reach up to 30% of the total project cost 1 These costs are relatively high due to accessibility issues and the need of dedicated vessels and personnel for the turbines' repair Moreover weather limitations can delay or abort the operations which can result in longer waiting times for the turbine to be repaired

Monitoring and diagnosis of a wind turbine machine train

2016-7-20machine train for the predictive maintenance of its elements: rotor slow shaft gearbox speed shaft and generator There are multiple objectives: Improve the maintenance planning (operations organization and spare parts supply) Increase the wind turbine life time PC free Improve the Return On Investment (ROI)

ACOUSTIC EMISSION CONDITION MONITORING: AN

2019-4-21incipient faults in low speed high frequency machine Index Terms: Low speed rotating machine and Condition Monitoring Systems Acoustic Emission (AE) -----***----- 1 INTRODUCTION The efficiency of the wind turbine performance could be improved due to the implementing of different maintenance

Model predictive control for wind power gradients

2014-2-24The key contributions in this paper are: 1) A convex reformulation of the wind turbine model to a convex problem 2) a fast solution algorithm for this problem and 3) demonstration of the application by simulation using real wind speed data We demonstrate how model predictive control (MPC) using forecasts of the wind speed can ensure very low

Sensor solutions for predictive maintenance of wind

Predictive Maintenance plays an essential role here Proactive monitoring based on precision sensor technology has already begun to be used in the production process of wind turbines and continues in test rigs and in the real-time monitoring of turbines during operation

Wind Turbine Maintenance Condition

2020-5-6The wind industry currently uses only Reactive Maintenance (fix it when it breaks) and Preventive Maintenance (following the wind turbine manufacturer's service manual) and is not yet well versed in the newer forms of maintenance collectively known as Predictive Maintenance which uses high tech condition monitoring technologies

An Advanced Prognostics and Health Management

2014-5-16The framework is validated with a case study from one onshore wind turbine with 26 months of data The results show a degrading trend of GHE that lead to major turbine downtime periods before which predictive maintenance could be made

A Scalable Predictive Maintenance Model for Detecting

2019-10-23A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data Lorenzo Gigoni Alessandro Betti i-EM S r l Livorno Italy lorenzo gigonii-em Mauro Tucci Emanuele Crisostomi University of Pisa Pisa Italy mauro tucciunipi Abstract—In this work a novel predictive maintenance system

Research and Application of Condition Monitoring and Fault

In view of the wind power equipment developing rapidly but lacking effective monitoring and diagnosis methods the research status and problems worth studying are pointed out The current situation fault features and diagnostic difficulties of wind turbines are

Focus: vibration analysis of wind turbines

2019-10-9A wind turbine is generally equipped with 8 accelerometers (2 on the low speed shaft 4 on gearbox and 2 on the generator) which are connected by cables to an acquisition unit Then the data pass through the wind site's intranet network and the Internet network to