Hybrid method for remaining useful life prediction in wind turbine systems

Djeziri, Mohand; Benmoussa, Samir; Sánchez, Roberto Tapia

doi:10.1016/j.renene.2017.05.020

Cited by 112 publications

(56 citation statements)

References 24 publications

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“…Currently, the use of AI models is the norm in the wind industry, and they are applied at all levels, from the strategic and tactical models (RCM, FMEA, FMECA, etc.) discussed in section two [36,164,165] to failure detection, diagnosis and prognosis and RUL determination [17,166]. AI techniques represent a new step in the evolution of MatMs such that once they are trained, they learn autonomously, have a life of their own and are capable of performing prognoses based on the natural behavioral pattern of the analyzed data, whether historical or obtained in real time.…”

Section: Prognosis Of Failuresmentioning

confidence: 99%

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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Wind power generation has been the fastest-growing energy alternative in recent years, however, it still has to compete with cheaper fossil energy sources. This is one of the motivations to constantly improve the efficiency of wind turbines and develop new Operation and Maintenance (O&M) methodologies. The decisions regarding O&M are based on different types of models, which cover a wide range of scenarios and variables and share the same goal, which is to minimize the Cost of Energy (COE) and maximize the profitability of a wind farm (WF). In this context, this review aims to identify and classify, from a comprehensive perspective, the different types of models used at the strategic, tactical, and operational decision levels of wind turbine maintenance, emphasizing mathematical models (MatMs). The investigation allows the conclusion that even though the evolution of the models and methodologies is ongoing, decision making in all the areas of the wind industry is currently based on artificial intelligence and machine learning models.

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Section: Prognosis Of Failuresmentioning

confidence: 99%

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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“…It is worth mentioning that many studies on controlling power of renewable hybrid power system have been proposed recently in order to improve the overall performance by appropriate control of the power flows on the DC bus [46][47][48] in comparison with baseline topologies using a FC system as auxiliary energy source [45]. For example, a two-layer control strategy has been proposed for easy integration of ultracapacitors in a grid connected HPS using a model predictive control of the power flows [46].…”

Section: Introductionmentioning

confidence: 99%

“…To solve this issue, a lot of control strategies based on artificial intelligence concepts have been proposed in the literature [47]. Some of them have been validated in simulation using models available in the literature [48], included in SimPowerSystems library [49], or developed based on the bond graph approach [50], but others have been tested using an experimental setup [51].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Bizon

Thounthong

2020

Mathematics

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Two Hybrid Power System (HPS) topologies are proposed in this paper based on the Renewable Energy Sources (RESs) and a Fuel Cell (FC) system-based backup energy source. Photovoltaic arrays and wind turbines are modeled as RESs power flow. Hydrogen and air needed for FC stack to generate the power requested by the load are achieved through the Load-Following control loop. This control loop will regulate the fueling flow rate to load level. A real-time optimization strategy for RES/FC HPS based on Extremum Seeking Control will find the Maximum Efficiency Point or best fuel economy point by control of the boost converter. Therefore, two HPS configurations and associated strategies based on Load-Following and optimization loops of the fueling regulators were studied here and compared using the following performance indicators: the FC net power generated on the DC bus, the FC energy efficiency, the fuel consumption efficiency, and the total fuel consumption. An increase in the FC system’s electrical efficiency and fuel economy of up to 2% and 12% respectively has been obtained using the proposed optimization strategies compared with a baseline strategy.

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“…Vibration signals from different locations have different phases [8], so they can interfere with each other, which may cause the loss of key information. To solve the problem, some researchers have depended on physical models [9,10,11], and others have devoted themselves to studying signal processing methods [1]. These works are all useful, but we think a more fundamental way is to find a new kind of signal that can reflect the meshing force better.…”

Section: Introductionmentioning

confidence: 99%

An Approach for the Dynamic Measurement of Ring Gear Strains of Planetary Gearboxes Using Fiber Bragg Gratings

Niu

Zhang

Chao-zhen

2017

Sensors

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Abstract:The strain of the ring gear can reflect the dynamic characteristics of planetary gearboxes directly, which makes it an ideal signal to monitor the health condition of the gearbox. To overcome the disadvantages of traditional methods, a new approach for the dynamic measurement of ring gear strains using fiber Bragg gratings (FBGs) is proposed in this paper. Firstly, the installation of FBGs is determined according to the analysis for the strain distribution of the ring gear. Secondly, the parameters of the FBG are determined in consideration of the accuracy and sensitivity of the measurement as well as the size of the ring gear. The strain measured by the FBG is then simulated under non-uniform strain field conditions. Thirdly, a dynamic measurement system is built and tested. Finally, the strains of the ring gear are measured in a planetary gearbox under normal and faulty conditions. The experimental results showed good agreement with the theoretical results in values, trends, and the fault features can be seen from the time domain of the measured strain signal, which proves that the proposed method is feasible for the measurement of the ring gear strains of planetary gearboxes.

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Hybrid method for remaining useful life prediction in wind turbine systems

Cited by 112 publications

References 24 publications

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

An Approach for the Dynamic Measurement of Ring Gear Strains of Planetary Gearboxes Using Fiber Bragg Gratings

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