Saybolt color is a standard measurement scale used to determine the quality of petroleum products and appropriate refinement process. However, current methods are mostly laboratory-based, thereby consuming much time being costly. Hence, we designed an automated model based on artificial neural network predict color. The has been built with five input variables, density, kinematic viscosity, sulfur content, cetane index, total acid number; one output, i.e., Two backpropagation algorithms...

A smart grid is a modern electricity system enabling bidirectional flow of communication that works on the notion demand response. The stability prediction becomes necessary to make it more reliable and improve efficiency consistency electrical supply. Due sensor or failures, missing input data can often occur. It worth noting there has been no work conducted predict variables in past. Thus, this paper aims develop an enhanced forecasting model using neural networks handle data. Four case...

A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was proposed in this research article. The algorithm uses inspiration from Hawk Arithmetic to improve position relocation problems, premature convergence, poor accuracy existing techniques face. HHAOA evaluated on various benchmark functions compared with other optimization algorithms, namely Algorithm, Moth Flame...

Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE turbines have become popular due to their ability reduce emissions by operating lean-burn operation. However, this technology leads challenges that sometimes interrupt regular operations. Therefore, paper extensively reviews development turbine and its challenges. Numerous online publications from various databases, including IEEE Xplore, Scopus, Web Science, are compiled describe evolution based on...

The gas sweetening process removes hydrogen sulfide (H2S) in an acid removal unit (AGRU) to meet the sales' specification, known as sweet gas. Monitoring concentration of H2S is crucial avoid operational and environmental issues. This study shows capability artificial neural networks (ANN) predict N-methyldiethanolamine (MDEA) Piperazine (PZ), temperature pressure inputs, outputs have been used create ANN network. Two distinct backpropagation techniques with various transfer functions...

This paper comprehensively reviews significant research on various artificial intelligence-based human gesture tracking techniques for the Tello EDU quadrotor drone. The gestures derived from image acquisition include hand, eye, face, and body. Further, methods signal through leap motion an electroencephalogram. framework developing algorithm with is also demonstrated. review table presents a thorough overview of studies linked to gesture-based techniques. It encompasses details such as...

Dry-Low Emission (DLE) technology significantly reduces the emissions from gas turbine process by implementing principle of lean pre-mixed combustion. The pre-mix ensures low nitrogen oxides (NOx) and carbon monoxide (CO) production operating at a particular range using tight control strategy. However, sudden disturbances improper load planning may lead to frequent tripping due frequency deviation combustion instability. Therefore, this paper proposed semi-supervised technique predict...

The lean blowout is the most critical issue in premixed gas turbine combustion. Decades of research into LBO prediction methods have yielded promising results. Predictions can be classified five categories based on methodology: semi-empirical model, numerical simulation, hybrid, experimental, and data-driven model. First which initial model used for limit at design stages. An example Lefebvre’s that could estimate eight different combustors with a ±30% uncertainty. To further develop limit,...

Dry Low Emission (DLE) operation mode for gas turbine is introduced to reduce nitrogen oxide (NOx) emission and meet current stringent environment regulation imposed on turbine. A good model essential simulation study or fault prediction. However, there are no effort modelling DLE currently. Nonlinear Autoregressive with Exogenous Input (NARX), a black-box approach has been identified as the suitable option in it enables development of without any assumptions. The results show that developed...

Wireless technology is becoming increasingly critical in industrial environments recent years, and the popular wireless standards are WirelessHART, ZigBee, WLAN ISA100.11a, commonly used closed-loop systems. However, networks control experience packet loss or drops, system delay data threats, leading to process instability catastrophic failure. To prevent such issues, it necessary implement dead-time compensation control. Traditional techniques like model predictive PI controllers frequently...

A stringent requirement of government policy on Carbon Monoxide (CO) and Nitrogen Oxide (NOx) emissions leads to the introduction dry-low emission (DLE) gas turbines. Although Rowen's model is well established for a turbine dynamic study, its utilization DLE representation has not been extensively studied. Thus, objective this research study suitability using Model operational performance. All available actual operation parameters were correlated measure dependency only selected. The data...

Achieving reliable power efficiency from a high voltage induction motor (HVIM) is great challenge, as the rigorous control strategy susceptible to unexpected failure. External cooling commonly used in an HVIM system, and it vital part of that responsible for keeping at proper operating temperature. A malfunctioning system component can cause overheating, which destroy entire plant shut down. As result, creating dynamic model quality performance, failure diagnosis, prediction critical....

Rowen's Model is an established physical model which successfully represents the dynamic behavior of gas turbines. In recent years, this has been widely developed using MATLAB/Simulink software. However, MATLAB costly due to commercial license, becoming a constraint for those who want simulate and evaluate with free legal access. Hence, open-source software such as Scilab/XCos can be used perform simulation. Therefore, in paper, analyzed Scilab/XCos. The implemented characterize operation...

A Dry-Low Emission (DLE) gas turbine is introduced due to a stringent requirement of government policy on Carbon Monoxide (CO) and Nitrogen Oxide (NOx) emissions in industry. The establishment demands reliable model for dynamic stability study where the conventional need be adjusted. well-established Rowen's but it still modified fit DLE requirement. most significant difference introduction Pilot Gas Fuel Valve instead only Main Valve. Thus, objective this research perform system...

Controlling a drone requires accuracy and efficiency, especially regarding gesture recognition. It's crucial to ensure that these gestures are mapped correctly the recognition algorithms safe computationally efficient. To achieve this, hybrid module is developed in this paper using machine learning techniques, such as MediaPipe, OpenCV, djitellopy packages, frameworks Python language environment. The can precisely identify categorize specified movements from live video feed, creating mapping...

In many industries, it is crucial to have an efficient and precise way of monitoring objects or individuals. Drones can be used for this purpose, such as in agriculture, observe crop growth detect potential issues. This makes them a valuable tool different fields, offering greater accuracy faster data collection. research uses image thresholding implement Tello EDU RoboMaster TT quadrotor drone tracking control system. The goal the autonomously follow line shapes, rounded at angles, steadily...

Predictive maintenance is an emerging concept that gaining mainstream popularity in industrial automation. It involves continuous monitoring of the machinery's health, status and performance real-time. Hence, it allows industry to schedule only when specific conditions are met before machinery breaks down. Critical such as three-phase induction motors being used widely processes. However, they subjected many electrical mechanical stresses due their long operating times. Bearing faults...