The use of computer-based automated approaches and improvements in lung sound recording techniques have made sound-based diagnostics even better devoid subjectivity errors. Using a computer to evaluate features more thoroughly with the analyzing changes behavior, measurements, suppressing presence noise contaminations, graphical representations are all possible by analysis. This paper starts discussion need for this research area, providing an overview field motivations behind it. Following...

Fault detection via power consumption monitoring of industrial robots is a substantial problem considered in this article, which the healthy measurements and encoders data for prespecified task are employed as reference comparison to diagnose potential failures or excessive degradation robot joints. Since most electrical mechanical faults directly affect consumed energy, proposed solution analyzes outcomes between with that monitored real time each individual task. To integrate base station,...

In the literature, there are many different photovoltaic (PV) component sizing methodologies, including PV/inverter power ratio, recommendations, and third-party field tests. This study presents state-of-the-art for gathering pertinent global data on size ratio provides a novel inverter method. The has been noted in literature as playing significant role both reducing clipping achieving system optimization. majority of researchers observed that due to varying irradiance distributions...

Building-integrated solar photovoltaic (BIPV) systems have gained attention in current years as a way to recover the building’s thermal comfort and generate sustainable energy building structures. BIPV can provide shade against sunshine while generating ancillary electrical power. Over last decades, engineers been trying improve efficiency of systems. with various installation types, including rooftop, balcony, curtain, sunshade, wall façade are being constantly researched intensively...

- The accurate sizing of the inverter, specifically power ratio (PSR) plays a vital role in maximizing energy production and economic benefits. Existing studies often overlook complex interplay between capture minimizing inverter-related costs when selecting optimal PSR. This research presents techno-economic approach to optimizing PSR for grid-connected photovoltaic (PV) systems. A simulation model is developed, incorporating real weather data inverter efficiency curves. calibrated using...

Multi-level transformerless inverters are widely used in grid-tied PV systems since they characterized by higher efficiency and lower cost. In this context, new topologies, modulation, control schemes were presented to solve problems of a common-mode voltage leakage current. This work proposes five-level inverter with zero current ability reduce the harmonic output content for single-phase system. The neutral grid links common on which negative positive terminals DC-link connected via...

Recently, the technology of Home Energy Management System (HEMS) has expanded for purpose reducing energy consumption. This paper presents development a smart plug with wireless Zigbee sensor measuring power consumption electrical appliances in HEMS. Experiments were carried out to evaluate node using only as microcontroller. Experimental results showed that is capable processing and analyzing analogue signal lower In addition, data obtained from more accurate smoother compared oscilloscope....

DC distribution of PV systems has spread back especially in the residential sector as a variety electronic appliances became locally available market. The compatibility household with best voltage-level environment is field that still research phase and not yet made practically extensive appearance. This paper mainly discusses this issue by providing review concerning efforts, identifying gaps existing knowledge. work explains electrical diagrams recently produced appliances, classifying...

Since the Fourth Industrial Revolution, humanity has experienced many advances and challenges that have overtaken world. There been continue to be very serious environmental changes catastrophic climate events put planet at risk. Therefore, must abandon irresponsible behaviors in dealing with environment modify them achieve peaceful coexistence all its elements, man is a friend of environment.The Global Risks Report (17th Edition) issued by World Economic Forum (World Forum, 2022) pointed...

The current study aims to develop and conduct a techno-environmental evaluation of new sustainable forced convection solar dryer (SFCSD). Where the developed SFCSD was integrated with unique electronic circuit that enables it operate in two different modes: 1. air circulation (active mode) 2. natural (passive mode), based on temperature (AT) inside drying room ambient light intensity (Li). Furthermore, is equipped an early warning system (SOS) can send message (SMS) operator case failure....

For power plant networks in developing countries like Iraq, balancing electricity demand and generation continues to be a major challenge. Energy management (EM) either demand-side (DS) or generation-side (GS) strategies, which is frequently utilized Iraq due lack of adequate generation, has small impact on the mechanism. Most previous studies similar discussed only application DS strategies. The purpose this paper contrast review various energy methodologies being used nations facing...

The main tool for measuring system efficiency in homes and offices is the energy monitoring of household appliances’ consumption. With help GUI through a PC or smart phone, there are various applications that can be developed saving. This work describes design prototype implementation wireless PV-powered home management under DC-distribution environment, which allows remote consumptions power rate quality. managed by central computer, obtains data based on XBee RF modules access sensor...

Off-grid and grid-connected photovoltaic (PV) systems with battery storage rely heavily on efficient energy transfer to maximize PV power utilization lifespan. However, existing literature often overlooks the crucial role of efficiency in these systems. This paper proposes a novel, fundamental-based flow strategy that addresses this gap by employing concept source-load voltage matching. The proposed ensures optimal matching between array bank. is achieved configuring bank range (between...

Periodic preventive maintenance of power transformer should be conducted for its health monitoring and early fault detection. Transformer oil is a vital element where contents properties need to monitored during the service life transformer. This paper presents an optical spectroscopy measurement from 200 nm 3300 characterize oil, which were sampled main tanks 'on-load tap changer' transformers. The correlation characteristics in range 2120 2220 Dissolved Gas Analysis results Duval Triangle...

DC power distribution in residential sector has regained interest among researchers and industrial players as new electronics-based appliances became locally available. However, the compatibility of with systems still requires much research effort. This work mainly explores on consumption profile an inverter-driven Variable Speed Controller (VSC-based) refrigerator that not yet been analyzed one most important household loads. paper compares two scenarios; 1) using three supply...

Brain tumors are the growth of abnormal cells or a mass in brain. Numerous kinds brain were discovered, which need accurate and early detection techniques. Currently, most diagnosis methods rely on decision neuro-specialists radiologists to evaluate images, may be time-consuming cause human errors. This paper proposes robust U-Net deep learning Convolutional Neural Network (CNN) model that can classify if subject has tumor not based Magnetic resonance imaging (MRI) with acceptable accuracy...

For microgrids to operate optimally and minimize the effects of uncertainty, anticipating solar PV measurements is essential. residential commercial that use PV, predicting energy over a short period crucial for managing grid-connected PVeffectively. Therefore, this work develops Recurrent Neural Network (RNN) forecasting temperature as time series records, where combination long short-term memory (LSTM) architecture with RNN used process input by updating state winding degrees. Data from...