Browsing by Author "Romero Troncoso, René"
Now showing items 1-7 of 7
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Condition monitoring strategy based on spectral energy estimation and linear discriminant analysis applied to electric machines
(2018)
Conference report
Open AccessCondition-based maintenance plays an important role to ensure the working condition and to increase the availability of the machinery. The feature calculation and feature extraction are critical signal processing that allow ... -
Fault detection and identification methodology under an incremental learning framework applied to industrial machinery
(Institute of Electrical and Electronics Engineers (IEEE), 2018-09-03)
Article
Open AccessAn industrial machinery condition monitoring methodology based on ensemble novelty detection and evolving classification is proposed in this study. The methodology contributes to solve current challenges dealing with ... -
Incremental learning framework-based condition monitoring for novelty fault identification applied to electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessA great deal of investigations are being carried out towards the effective implementation of the 4.0 Industry new paradigm. Indeed, most of the machinery involved in industrial processes are intended to be digitalized ... -
Incremental novelty detection and fault identification scheme applied to a kinematic chain under non-stationary operation
(2019-01-01)
Article
Open AccessClassical methods for monitoring electromechanical systems lack two critical functions for effective industrial application: management of unexpected events and the incorporation of new patterns into the knowledge database. ... -
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine
(2019-08-01)
Article
Open AccessStrategies of condition monitoring applied to electric motors play an important role in the competitiveness of multiple industrial sectors. However, the risk of faults coexistence in an electric motor and the overlapping ... -
Novel condition monitoring approach based on hybrid feature extraction and neural network for assessing multiple faults in electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - publisher's policyNew challenges involve the development of new condition monitoring approaches to avoid unexpected downtimes and to ensure the availability of machines during operating working conditions. The feature calculation from ... -
Novelty detection based condition monitoring scheme applied to electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThis study is focused on the current challenges dealing with electromechanical system monitoring applied in industrial frameworks, that is, the presence of unknown events and the limitation to the nominal healthy condition ...
