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Pattern recognition by wavelet transforms using macro fibre composites transducers
(ELSEVIER, 2014-04)
This paper presents a novel pattern recognition approach for a non-destructive test based on macro fibre composite transducers applied in pipes. A fault detection and diagnosis (FDD) method is employed to extract relevant ...
A New Condition Monitoring Approach for Maintenance Management in Concentrate Solar Plants
(Springer, 2015-05-21)
The concentrated solar energy is one of the most important renewable energy source. It is crucial to ensure that the solar receivers work properly to avoid failures, and to increase the reliability, availability, safety ...
Maintenance management of wind turbines structures via MFCs and wavelet transforms
(Elsevier, 2015-08)
This paper introduces a novel Fault Detection and Diagnosis method based on the wavelet transform to detect defects on the tower of a wind turbine. 24 Macro-Fiber Composite transducers have been placed to send and collect ...
Wavelet transforms and pattern recognition on ultrasonic guides waves for frozen surface state diagnosis
(Elsevier, 2017-03-17)
Icing blades require of advanced condition monitoring systems to reduce the failures and downtimes in Wind Turbine Blades (WTB). This paper presents a case study that combines ultrasonic techniques with Wavelet transforms ...
Calculus of the defect severity with EMATs by analyzing the attenuation curves of the guided waves
(2016-12)
The aim of this paper is to develop a novel method to determine the severity of a damage in a thin plate. This paper presents a novel fault detection and diagnosis approach employing a new electromagnetic acoustic transducer, ...