Tomek link and SMOTE approaches for machine fault classification with an imbalanced dataset
EF Swana, W Doorsamy, P Bokoro - Sensors, 2022 - mdpi.com
Data-driven methods have prominently featured in the progressive research and
development of modern condition monitoring systems for electrical machines. These …
development of modern condition monitoring systems for electrical machines. These …
A new statistical features based approach for bearing fault diagnosis using vibration signals
In condition based maintenance, different signal processing techniques are used to sense
the faults through the vibration and acoustic emission signals, received from the machinery …
the faults through the vibration and acoustic emission signals, received from the machinery …
Electricity theft detection using empirical mode decomposition and K-nearest neighbors
Electricity theft is a criminal practice of stealing electricity. In the country like Pakistan where
the consumption is more than the production, the electricity theft can be hazardous for the …
the consumption is more than the production, the electricity theft can be hazardous for the …
Intelligent bearing faults diagnosis featuring automated relative energy based empirical mode decomposition and novel cepstral autoregressive features
Vibration signal analysis is a significant approach in fault diagnosis. This article presents a
new vibration signal preprocessing scheme called Automated Relative Energy based …
new vibration signal preprocessing scheme called Automated Relative Energy based …
Biometric Authentication System Based on Electrocardiogram (ECG)
Electrocardiogram (ECG) is the measure of the electrical activity of heart which provides a
powerful authentication system for person recognition due to the variation in ECG …
powerful authentication system for person recognition due to the variation in ECG …
An embedded system for stator short-circuit diagnosis in three-phase induction motors using information theory and artificial neural networks
This study presents an embedded system in hardware based on mutual information
measurements and artificial neural networks for the stator winding short-circuit diagnosis of …
measurements and artificial neural networks for the stator winding short-circuit diagnosis of …
Prediction of acute coronary syndrome using pulse plethysmograph
Acute Coronary Syndrome (ACS) is one the major reason of increasing mortality rate.
Despite medical advances, there isn't any efficient method that can control this proliferating …
Despite medical advances, there isn't any efficient method that can control this proliferating …
Intelligent system for classification of pulmonary diseases from lung sound
Lung disease belongs to the class of fatal disease according to World Health Organization
statistics. Asthma and bronchitis are most prominent among these abnormalities …
statistics. Asthma and bronchitis are most prominent among these abnormalities …
Classification of myocardial infarction using MFCC and ensemble subspace KNN
Myocardial Infarction and Heart stroke are most prominent in the top ten deadly diseases
worldwide. These diseases remained the prime reason for mortality in the last fifteen years …
worldwide. These diseases remained the prime reason for mortality in the last fifteen years …
Detection of insomnia using electrocardiography and electromyography
Insomnia is one of the serious sleep disorders. In this disease, a patient feels trouble falling
asleep and stay awake for the whole night. Insomnia also co-morbid with other diseases like …
asleep and stay awake for the whole night. Insomnia also co-morbid with other diseases like …