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Hybrid model for fault detection and diagnosis in an industrial distillation column
(De Gruyter, 2020-07)
The present work describes a method of automatic fault detection and identification based on a hybrid model (HM): First Principles – Neural Network. The FPM can simulate a wide range of situations while the NN corrects the ...
Optimal sensor network upgrade for fault detection using principal component analysis
(American Chemical Society, 2016-02-11)
The efficiency of a fault monitoring system critically depends on the structure of the plant instrumentation system. For processes monitored using principal component analysis, the multivariate statistical technique most ...
A Current Monitoring System for Diagnosing Electrical Failures in Induction Motors
(Academic Press Ltd - Elsevier Science Ltd, 2006-12)
Induction motors are critical components in industrial processes. A motor failure may yield an unexpected interruption at the industrial plant, with consequences in costs, product quality, and safety. Many of these faulty ...
On the variable contributions to the D-statistic
(Elsevier Science, 2007-09)
The D-statistic is widely used in Statistical process control to reliably detect the out of control status, but by itself it offers no assistance as fault identification tool. Some strategies, that work in the original or ...
On-Line Model-Based stator fault and identification in induction motors
(Institute of Electrical and Electronics Engineers, 2009-11)
In this paper, a model-based strategy for statorinterturn short-circuit detection on induction motors is presented. The proposed strategy is based on the generation of a vector of specific residual using a state observer. ...
Sensor location for enhancing fault diagnosis
(American Chemical Society, 2016-07-25)
Multivariate statistical control techniques have been successfully applied to the detection and isolation of process faults. Because those strategies evaluate the current process state using the measurement values and the ...
A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
(Academic Press Ltd - Elsevier Science Ltd, 2017-02)
Condition monitoring in permanent magnet synchronous machines has gained interest due to the increasing use in applications such as electric traction and power generation. Particularly in wind power generation, non-invasive ...
Diagnóstico de fallas en procesos técnicos: un enfoque basado en minería de datos y SVM
(Ciencia e Ingeniería, 2014)