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In this paper, we propose an interval type-2 fuzzy inference system using Extended Kalman Filter based learning algorithm. It is referred to as IT2FIS-EKF. This algorithm realizes the Takagi-Sugeno-Kang inference mechanism in a five layered architecture. It starts with no rules and evolves the structure automatically. The sequential learning algorithm regulates the learning process by selecting appropriate...
In this paper, an automatic seizure detection technique using multichannel EEG is proposed based on Metacognitive Complex-valued Interval Type-2 Fuzzy Inference System (McCIT2FIS). A wavelet chaos theory based feature extraction is employed to extract the features from EEG signal as it can handle the non stationarity in data and Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation...
Interval Type-2 fuzzy systems have been shown to be extremely capable of handling vagueness as well as uncertainty in data, while complex-valued fuzzy sets have been demonstrated to be capable of solving classification problems efficiently. This paper combines their collective advantage to propose a complex-valued Interval Type-2 Fuzzy Inference System (referred to as CIT2FIS). To derive the fuzzy...
In this paper, we propose an Interval Type-2 neuro-fuzzy inference system and its meta-cognitive projection based learning algorithm (PBL-McIT2FIS) for wind speed prediction. Interval Type-2 fuzzy sets are employed in the antecedent of fuzzy rules and the consequent realizes Takagi-Sugeno-Kang (TSK) inference mechanism. Initially the rule base in PBL-McIT2FIS is empty, the learning algorithm employs...
This paper presents the implementation of TMS320LF2407 DSP processor Kit to identify the single phasing fault online, based on the stator current. The Induction motors are most widely used motors in industrial, commercial and residential sectors because of enormous merits of these over the types of available electric motors, as the workhorse in industrial applications. The early detection of these...
Energy crisis, global warming and depletion of ozone layer are the major factors looming the world today. Adequate utilization of renewable energy sources like wind, solar, biomass etc. prove to be the only alternative. As a result, these industries are rapidly gaining significance. The wind power industry is very promising and it is necessary for the wind farm power prediction to be exact. Prediction...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable and safe operation. They are generally reliable but eventually do wear out. Faults and failures of induction machines can lead to excessive downtimes and generate large losses in terms of maintenance and lost revenues, and this motivates the examination of on-line condition monitoring. On-line condition...
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