Adaptive data-driven fault-tolerant control strategy for optimal power extraction in presence of broken rotor bars in wind turbine
Broken rotor bars of a Squirrel Cage Induction Generator (SCIG) impact significantly the
quality and quantity of produced electrical energy from Wind Energy Conversion Systems …
quality and quantity of produced electrical energy from Wind Energy Conversion Systems …
On-line incremental feature weighting in evolving fuzzy classifiers
E Lughofer - Fuzzy Sets and Systems, 2011 - Elsevier
In this paper, we present an approach for addressing the problem of dynamic dimension
reduction during on-line training, evolution and updating of evolving fuzzy classifiers (EFC) …
reduction during on-line training, evolution and updating of evolving fuzzy classifiers (EFC) …
Continuous detection of concept drift in industrial cyber-physical systems using closed loop incremental machine learning
The embedded, computational and cloud elements of industrial cyber physical systems
(CPS) generate large volumes of data at high velocity to support the operations and …
(CPS) generate large volumes of data at high velocity to support the operations and …
Online identification of evolving Takagi–Sugeno–Kang fuzzy models for crane systems
This paper suggests new evolving Takagi–Sugeno–Kang (TSK) fuzzy models dedicated to
crane systems. A set of evolving TSK fuzzy models with different numbers of inputs are …
crane systems. A set of evolving TSK fuzzy models with different numbers of inputs are …
[PDF][PDF] Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system
The increased cost of fuel and maintenance in aircraft system lead to the concept of more
electric aircraft, moreover this concept increase the use of power electronic converters in …
electric aircraft, moreover this concept increase the use of power electronic converters in …
[BOOK][B] Learning in dynamic environments
M Sayed-Mouchaweh, M Sayed-Mouchaweh - 2016 - Springer
In this chapter, the problem of drifting data streams in dynamic environments is formalized,
and its framework is defined. Then, the kinds and characteristics of the concept drift are …
and its framework is defined. Then, the kinds and characteristics of the concept drift are …
Feature extraction for one-class classification
Feature reduction is often an essential part of solving a classification task. One common
approach for doing this, is Principal Component Analysis. There the low variance directions …
approach for doing this, is Principal Component Analysis. There the low variance directions …
Towards versatile electronic nose pattern classifier for black tea quality evaluation: An incremental fuzzy approach
Commonly used classification algorithms are not capable of incremental learning. When a
new pattern is presented to such a computational model, it can either classify the unknown …
new pattern is presented to such a computational model, it can either classify the unknown …
Model-based intelligent fault detection and diagnosis for mating electric connectors in robotic wiring harness assembly systems
Mating a pair of electric connectors is one of the most important steps in a robotic wiring
harness assembly system. A class of piecewise linear force models is proposed to describe …
harness assembly system. A class of piecewise linear force models is proposed to describe …
Evolving fuzzy models for myoelectric-based control of a prosthetic hand
This paper proposes a set of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of the
nonlinear dynamic mechanisms occurring in the myoelectric-based control of prosthetic …
nonlinear dynamic mechanisms occurring in the myoelectric-based control of prosthetic …