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Dual-tree complex wavelet transform applied to fault monitoring and identification in aeronautical structures
(2014-01-01)
This paper proposes the application of the dual-tree complex wavelet transform on fault monitoring and identification in aeronautical structures. For this purpose, a multiscale analysis from phase of the complex wavelet ...
Fault section location in smart grid using smart switches
(2018-06-25)
This paper proposes the development of a method for monitoring and fault sections location in intelligent distribution systems, which is based on the replacement of equipment traditionally used in the protection of ...
A METHODOLOGY FOR THE DETECTION AND DIAGNOSTIC OF LOCALIZED FAULTS IN GEARS AND ROLLING BEARINGS SYSTEMS
(Universidad de Tarapacá., 2010)
Monitoring and fault identification in aeronautical structures using an artmap-fuzzy-wavelet artificial neural network
(2014-01-01)
This paper presents a methodology to perform the monitoring and identification of flaws in aircraft structures using an ARTMAP-Fuzzy-Wavelet artificial neural network. This technique is used in the detection and characterization ...
Development of an instrumentation system embedded on FPGA for real time measurement of mechanical vibrations in rotating machinery
(2012-11-23)
The real-time monitoring of events in an industrial plant is vital, to monitor the actual conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes condition ...
Development of an instrumentation system embedded on FPGA for real time measurement of mechanical vibrations in rotating machinery
(2012-11-23)
The real-time monitoring of events in an industrial plant is vital, to monitor the actual conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes condition ...
A fault detection and diagnosis technique for multivariate processes using a PLS-decomposition of the measurement space
(Elsevier Science, 2013-10)
A newstatisticalmonitoring technique based on partial least squares (PLS) is proposed for fault detection and diagnosis inmultivariate processes that exhibit collinear measurements. A typical PLS regression (PLSR) modeling ...
Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Probabilistic Neural Networks
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy ...
Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
(SAGE, 2020)
With the availability of cheaper multisensor suites, one has access to massive and multidimensional datasets that can and should be used for fault diagnosis. However, from a time, resource, engineering, and computational ...