Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Marugán, Alberto Pliego; Márquez, Fausto Pedro García

doi:10.1002/we.2393

Cited by 53 publications

(23 citation statements)

References 51 publications

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“…For example, Wang et al [12] developed algorithms that work with a reduced number of data and failures with a good accuracy. Romero et al [13] demonstrated the need to improve the data processing due to the false alarms (the importance of false alarms in WT was presented by Marugán et al in [14,15]), or other faults that are overlooked. The authors defined the normal operating limits for each WT according to the vibration signals.…”

Section: Introductionmentioning

confidence: 99%

A review of non-destructive testing on wind turbines blades

2020

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Wind energy, with an exponential growth in the last years, is nowadays one of the most important renewable energy sources. Modern wind turbines are bigger and complex to produce more energy. This industry requires to reduce its operating and maintenance costs and to increase its reliability, safety, maintainability and availability. Condition monitoring systems are beginning to be employed for this purpose. They must be reliable and cost-effective to reduce the long periods of downtimes and high maintenance costs, and to avoid catastrophic scenarios caused by undetected failures. This paper presents a survey about the most important and updated condition monitoring techniques based on non-destructive testing and methods applied to wind turbine blades. In addition, it analyses the future trends and challenges of structural health monitoring systems in wind turbine blades.

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Section: Introductionmentioning

confidence: 99%

A review of non-destructive testing on wind turbines blades

2020

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“…The improvement in the maintenance management operations will help to reach the competitiveness in wind power in terms of reliability, lifetime and availability [15]. Other key factor for the evolution of an industry is the cost reduction and the system efficiency by new strategies based on advance analytics [16,17], for example, the optimization of maintenance resources or the correct use of them [18,19]. Maintenance management is considered as transcendental to improve the benefit margin [20].…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing

Márquez

Muñoz

2020

Energies

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Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults.

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“…Within this context, precision agriculture is a fundamental part of sustainable agriculture and it is included in the called "Agriculture 4.0" [4,5]. It employs techniques for agri-food production that allow advantages of the available resources utilization, and avoid, or minimize, the production of toxic waste [6]. Precision agriculture allows to know where, how and when to apply the resources, and to obtain maximum benefits within a sustainable environment, knowing the current state of crops over the time.…”

Section: Introductionmentioning

confidence: 99%

Smart Farming: Intelligent Management Approach for Crop Inspection and Evaluation Employing Unmanned Aerial Vehicles

Muñoz

Alvarez

Márquez

2020

Advances in Intelligent Systems and Computing

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This work presents an unmanned aerial vehicle management platform encompassed in the concept of smart farming. Automates inspections of different crops and monitors the status of the plantation is done by IoT, analyzing an area on an online map that provides air and weather restrictions. Intelligent route management algorithms are employed to generate the optimal inspection route and waypoints, maximizing the multispectral images capture. These multispectral images can be subsequently processed according to algorithms based on phytosanitary index formulas and regressions obtained with artificial neural networks. Reports are generated with analysis of the results by this approach, for example: optimal collection time, water stress, maturity index, etc.

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Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Cited by 53 publications

References 51 publications

A review of non-destructive testing on wind turbines blades

A review of non-destructive testing on wind turbines blades

A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing

Smart Farming: Intelligent Management Approach for Crop Inspection and Evaluation Employing Unmanned Aerial Vehicles

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