AIMC Topic: Wavelet Analysis

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A Bearing Fault Diagnosis Method Based on Wavelet Packet Transform and Convolutional Neural Network Optimized by Simulated Annealing Algorithm.

Sensors (Basel, Switzerland) Feb 12, 2022
Bearings are widely used in various electrical and mechanical equipment. As their core components, failures often have serious consequences. At present, most parameter adjustment methods are still manual adjustments of parameters. This adjustment met...
Humans Algorithms Wavelet Analysis Vibration Neural Networks, Computer Machine Learning
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Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network.

Computational and mathematical methods in medicine Jan 30, 2022
Heart disease is a common disease affecting human health. Electrocardiogram (ECG) classification is the most effective and direct method to detect heart disease, which is helpful to the diagnosis of most heart disease symptoms. At present, most ECG d...
Wavelet Analysis Supervised Machine Learning Heart Diseases Algorithms Diagnosis, Computer-Assisted Electrocardiography Humans Computational Biology Signal Processing, Computer-Assisted Neural Networks, Computer
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Improving the leak detection efficiency in water distribution networks using noise loggers.

The Science of the total environment Jan 29, 2022
Leak detection techniques are effective ways of controlling water leakage in real water distribution networks (WDNs). Nevertheless, developing detection techniques for real WDNs has received little attention compared to the detection models developed...
Water Supply Algorithms Water Support Vector Machine Wavelet Analysis Neural Networks, Computer
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Application of artificial intelligence based on synchrosqueezed wavelet transform and improved deep extreme learning machine in water quality prediction.

Environmental science and pollution research international Jan 24, 2022
Water quality prediction is the basis for the prevention and control of water pollution. In this paper, to address the problem of low prediction accuracy of existing empirical models due to the non-smoothness and nonlinearity of water quality series,...
Algorithms Water Quality Artificial Intelligence Rivers Wavelet Analysis
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Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques.

Journal of healthcare engineering Jan 10, 2022
Radiology is a broad subject that needs more knowledge and understanding of medical science to identify tumors accurately. The need for a tumor detection program, thus, overcomes the lack of qualified radiologists. Using magnetic resonance imaging, b...
Humans Algorithms Wavelet Analysis Brain Deep Learning Brain Neoplasms Magnetic Resonance Imaging
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Overview on prediction, detection, and classification of atrial fibrillation using wavelets and AI on ECG.

Computers in biology and medicine Jan 1, 2022
Atrial fibrillation (AF) is the most common supraventricular cardiac arrhythmia, resulting in high mortality rates among affected patients. AF occurs as episodes coming from irregular excitations of the ventricles that affect the functionality of the...
Wavelet Analysis Electrocardiography Humans Atrial Fibrillation Artificial Intelligence Machine Learning
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Fatigue Crack Evaluation with the Guided Wave-Convolutional Neural Network Ensemble and Differential Wavelet Spectrogram.

Sensors (Basel, Switzerland) Dec 31, 2021
On-line fatigue crack evaluation is crucial for ensuring the structural safety and reducing the maintenance costs of safety-critical systems. Among structural health monitoring (SHM), guided wave (GW)-based SHM has been deemed as one of the most prom...
Normal Distribution Machine Learning Wavelet Analysis Neural Networks, Computer
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Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier.

PloS one Dec 16, 2021
Corrosion in carbon-steel pipelines leads to failure, which is a major cause of breakdown maintenance in the oil and gas industries. The acoustic emission (AE) signal is a reliable method for corrosion detection and classification in the modern Struc...
Corrosion Signal Processing, Computer-Assisted Support Vector Machine Machine Learning Acoustics Wavelet Analysis Models, Statistical Algorithms Fourier Analysis
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Novel feature extraction method for signal analysis based on independent component analysis and wavelet transform.

PloS one Dec 16, 2021
Feature extraction is an important part of data processing that provides a basis for more complicated tasks such as classification or clustering. Recently many approaches for signal feature extraction were created. However, plenty of proposed methods...
Wavelet Analysis Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Humans Databases, Factual Heart Rate Electrocardiography
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Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis.

Sensors (Basel, Switzerland) Dec 4, 2021
Rotating machinery is one of the major components of industries that suffer from various faults due to the constant workload. Therefore, a fast and reliable fault diagnosis method is essential for machine condition monitoring. In this study, noise el...
Neural Networks, Computer Noise Intelligence Wavelet Analysis Vibration
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