A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

Muñoz, Carlos Quiterio Gómez; Márquez, Fausto Pedro Garcı́a; Jiménez, Alfredo; Cheng, Lei; Kogia, Maria; Mohimi, Abbas; Papaelias, Mayorkinos

doi:10.17531/ein.2017.4.1

Cited by 30 publications

(6 citation statements)

References 28 publications

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“…The large amount of generated data requires appropriate processing, starting with the exclusion of noise and erroneous data. For this purpose, different mathematical approaches have been proposed in the literature, based on radical base function neural networks [95], Gaussian mixture models [96], wavelet transforms [97], etc.…”

Section: Protection Against Fatiguementioning

confidence: 99%

A Comprehensive Analysis of Wind Turbine Blade Damage

2021

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The scope of this article is to review the potential causes that can lead to wind turbine blade failures, assess their significance to a turbine’s performance and secure operation and summarize the techniques proposed to prevent these failures and eliminate their consequences. Damage to wind turbine blades can be induced by lightning, fatigue loads, accumulation of icing on the blade surfaces and the exposure of blades to airborne particulates, causing so-called leading edge erosion. The above effects can lead to damage ranging from minor outer surface erosion to total destruction of the blade. All potential causes of damage to wind turbine blades strongly depend on the surrounding environment and climate conditions. Consequently, the selection of an installation site with favourable conditions is the most effective measure to minimize the possibility of blade damage. Otherwise, several techniques and methods have already been applied or are being developed to prevent blade damage, aiming to reduce damage risk if not able to eliminate it. The combined application of damage prevention strategies with a SCADA system is the optimal approach to adequate treatment.

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Section: Protection Against Fatiguementioning

confidence: 99%

A Comprehensive Analysis of Wind Turbine Blade Damage

2021

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“…This paper analyzes the data acquired from a gearbox bearing and the wind speed with the aim of obtaining an efficient modelling for reducing uncertainty due to false alarms and increasing the sustainability of energy generation [36,37]. The alarm activation produces the WT to stop in several cases.…”

Section: Approachmentioning

confidence: 99%

False Alarms Analysis of Wind Turbine Bearing System

Chacón¹,

Ramírez²,

Márquez³

2020

Sustainability

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Wind turbines are complex systems that use advanced condition monitoring systems for analyzing their health status. The gearbox is one of the most critical components due to its elevated downtime and failure rate. Supervisory Control and Data Acquisition systems are employed in wind farms for condition monitoring and control in real time. The volume and variety of the data require novel and robust techniques for data analysis. The main novelty of this work is the development of a new modelling of the temperature curve of the gearbox bearing versus wind speed to detect false alarms. An approach based on data partitioning and data mining centers is employed. The wind speed range is divided into intervals to increase the accuracy of the model, where the centers are considered representative samples in the modelling. A method based on the alarm detection is developed and studied together with the alarms report provided by a real case study. The results obtained allow the identification of critical alarm periods outside the confidence interval. It is validated that the study of alarm identification, pre-filtered data, state variable, and output power contribute to the detection of the false alarms.

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“…Macro fiber composite (MFC) transducers were employed for fault detection and harvesting high frequency small vibrations [16][17][18][19]. MFCs consist of rectangular piezo ceramic rods sandwiched between layers of adhesive, electrodes, and polyimide film [19][20][21][22]. The electrodes are attached to the film in an interdigitated pattern [23][24][25].…”

Section: Macro Fiber Composite Transducersmentioning

confidence: 99%

Analysis and Comparison of Macro Fiber Composites and Lead Zirconate Titanate (PZT) Discs for an Energy Harvesting Floor

2020

Self Cite

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The main drawback in many electronic devices is the duration of their batteries. Energy harvesting provides a solution for these low-consumption devices. Piezoelectric energy harvesting use is growing because it collects small amounts of clean energy and transforms it to electricity. Synthetic piezoelectric materials are a feasible alternative to generate energy for low consumption systems. In addition to the energy generation, each pressure cycle in the piezoelectric material can provide information for the device, for example, counting the passage of people. The main contribution of this work is to study, build, and test a low-cost energy harvesting floor using piezoelectric transducers to estimate the amount of energy that could be produced for a connected device. Several piezoelectric transducers have been employed and analyzed, providing accurate results.

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A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

Cited by 30 publications

References 28 publications

A Comprehensive Analysis of Wind Turbine Blade Damage

A Comprehensive Analysis of Wind Turbine Blade Damage

False Alarms Analysis of Wind Turbine Bearing System

Analysis and Comparison of Macro Fiber Composites and Lead Zirconate Titanate (PZT) Discs for an Energy Harvesting Floor

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