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Evaluation of the status of rotary machines by time causal Information Theory quantifiers
(Elsevier Science, 2017-03)
In this paper several causal Information Theory quantifiers, i.e.�Shannon entropy, statistical complexity and Fisher information using the Bandt and Pompe permutation probability distribution, measure are applied to ...
A new structural health monitoring strategy based on PZT sensors and convolutional neural network
(2018-09-05)
Preliminaries convolutional neural network (CNN) applications have recently emerged in structural health monitoring (SHM) systems focusing mostly on vibration analysis. However, the SHM literature shows clearly that there ...
Deep learning enabled fault diagnosis using time-frequency image analysis of rolling element bearings
(Hindawi Ltd., 2017)
Traditional feature extraction and selection is a labor-intensive process requiring expert knowledge of the relevant features pertinent to the system. This knowledge is sometimes a luxury and could introduce added uncertainty ...
Misalignment detection in induction motors with flexible coupling by means of estimated torque analysis and MCSA
(Academic Press Ltd - Elsevier Science Ltd, 2016-12)
In recent years, progress has been made in developing techniques to detect mechanical faults in actuators driven by induction motors. The latest developments show their capability to detect faults from the analysis of the ...
Development of diagnosis system for rolling bearings faults on real time based on FPGA
(2012-04-01)
The real-time monitoring of events in an industrial plant is an advanced technique that presents the real conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program ...
Morphometric and structural diagnosis of fault reactivation in the Cenozoic: A case study of the Blumenau-Soledade Lineament in southern Brazil
(2021-01-01)
The hypothesis that geomorphometric parameters and structural-geological features are diagnostic of reactivation of the Blumenau-Soledade Lineament in central-western Santa Catarina, Brazil was tested by confronting data ...
Machine Learning Applied in the Detection of Faults in Pipes by Acoustic Means
(2021-01-01)
The Structural Health Monitoring evaluates the situation of aeronautical, civil or mechanical structures and provides a forecast of its remaining useful life, acting in decision making, being able to intervene in critical ...
A New Acoustic Emission-Based Approach for Supply Disturbances Evaluation in Three-Phase Induction Motors
(2021-01-01)
The interruption of a three-phase induction motor (TIM) on production lines represents a high financial and operational cost. However, these machines are often exposed to mechanical and electrical failures that can cause ...
Study Of Parameter Monitoring In Stationary Mechanical Systems
(Braz Soc Mech Sci, Rio de Janeiro, Brazil, 1999)