Adverse conditions within specific offshore environments magnify the challenges faced by a vessel’s energy-efficiency optimization in Industry 4.0 era. As data rate and volume increase, analysis of big using analytical techniques might not be efficient, or even infeasible some cases. The purpose this study is development deep-learning models that can utilized to predict propulsion power vessel....

In this work, a photovoltaic (PV) system integrated with non-inverting DC-DC buck-boost converter to extract maximum power under varying environmental conditions such as irradiance and temperature is considered. order (via transfer theorem), robust nonlinear arbitrary sliding mode-based control designed for tracking the desired reference, which generated via feed forward neural networks (FFNN)....

The high applicability of the electrical motor has led to gain attention in condition monitoring diagnosis most common type fault this machine, bearing element. emergence deep neural networks (DNN) provides opportunity design a network for early with speed and without any additional feature extraction technique. However, robustness against noise some deficiencies fully capturing features are st...

Power quality disturbances (PQD) degrades the of power. Detection these PQDs in real time using smart systems connected to power grid is a challenge due integration energy generation units and electronic devices. Deep learning methods have shown advantages for PQD classification accurately. events are non-stationary occur at discrete events. Pre-processing signal dual tree complex wavelet trans...

ECG (Electrocardiogram) performs classification using a machine learning model for processing different features in the signal. The electrical activity of heart is computed with signal library. key issue handling signals an estimation irregularities to evaluate health status patients. impulse waveform specialized tissues cardiac diseases. However, comprises difficulties associated derive certai...

The intrusion detection systems are classified as Network based or Host based attacks. The network based attack may be either misuse or anomaly based attacks. The network based attacks are detected from the interconnection of computer systems. The system is able to communicate with each other, so that the attack is sent from one computer system to another computer system by the way of routers a...

Wind Power forecasting is an important subject of concern for reliable operations of grid and it has been studied from different points of views of both accuracy and reliability. So with an aim of improvement in prediction accuracy this paper presents a hybrid wind power prediction machine for Ontario Electricity Market (OEM) on single step ahead basis in which Wavelet Transform (WT) is used fo...

Agriculture is the mother of all cultures. It played a vital role in the development of human civilization. But plant leaf diseases can damage the crops there may be economic losses in crops. Without knowing about the diseases affected in the plant, the farmers are using excessive pesticides for the plant disease treatment. To overcome this, the detected spot diseases in leaves are classified b...

Abstract Developing a method to detect internal leakage in hydraulic cylinder, which is used for Electro‐Hydrostatic Actuators (EHA), important prevent serious malfunctions aircrafts. At present, the an EHA cannot be accurately detected only using operational data. This paper proposed convolutional neural networks (CNN) based cylinder according relationship between state parameters of and cylin...

Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors. In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full sp...