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Keyword: DefectCharacteristics of Crystal Defects due to the Inverse Piezoelectric Effect in Aluminum Gallium Nitride / Gallium Nitride High Electron Mobility Transistors
Gallium nitride (GaN) is expected to be used as a material for power semiconductor devices. However, it is crucial to focus on the dielectric properties of GaN. In this study, we investigated the transient response of the drain current during high-frequency application after intentionally maintaining the current collapse in the AlGaN/GaN high electron mobility transistors.…
Read MoreAnalysis of Reducing Defect Waste in Rubber Product for Magnetic Disk Drive Industry
Productivity is increasing when less input was used in getting the same outcomes. Thus, the effectiveness of productive effort, especially in industry, as measured in terms of the rate of output per unit of input. As in derivative rubber industry which is producing the seal product for final assembly of Disc Drive. The function of…
Read MoreDFIG Defects Diagnosis Method for Wind Energy Conversion Chain
This paper is an extension of research work originally presented in 2018 IEEE fifth International Congress on Information Science and Technology (CiSt). The research consists on developing method to diagnose electrical defects affecting wind turbine doubly-fed induction generator DFIG which constitutes a crucial part of wind energy conversion chain. First off all, we create a…
Read MoreAn Efficient Automotive Paint Defect Detection System
Vision-based defect detection techniques are widely used for quality control purposes. In this work, an efficient deflectometry based detection system is developed for semi-specular/painted surface defect detection. This system consists of a robotic arm that carries a screen/camera setup and can detect defects on large surfaces with different topologies, such as a car bumper, by…
Read MoreExplainable AI and Active Learning for Photovoltaic System Fault Detection: A Bibliometric Study and Future Directions
Persistent anomalies in modern photovoltaic (PV) systems present a formidable challenge, impeding optimal power output and system resilience. Artificial Intelligence (AI) has surfaced as a game-changing solution, yet existing research has merely scratched the surface of solar panel prognosis, leaving a critical void in leveraging AI’s explainable nature and active learning capabilities. This pioneering study…
Read MoreNiO Quantum dots Doped Triple Cation Perovskite \(\mathrm{CsMAFAPbI_2Br_2}\) Heterojunction Photodetector with High Responsivity
Optoelectronic devices applications based on Organic–inorganic perovskites are promising and effective low-cost energy materials due to their exceptional physical properties which include high carrier mobility, high optical absorption coefficient, and long carrier diffusion length. In the presented work, a TiO2/NiO+5% Fe quantum dots (QDs)–doped CsMAFAPbI2Br2 perovskite heterojunction broadband photodetector was fabricated on FTO/glass substrate. The…
Read MoreSynthesis and Characterization of Graphene Oxide Under Different Conditions, and a Preliminary Study on its Efficacy to Adsorb Cu\(^{2+}\)
Graphene oxide (GO) was prepared by the modified Hummer’s method, but the mass ratio of graphite to sodium nitrate (NaNO3) was varied from 2:1, 1:1, and 1:2. The primary reason for the variation was to determine the optimum conditions that would afford more oxygen functional groups to improve the material for application in adsorption. The…
Read MoreComparative Analysis Spline Methods in Digital Processing of Signals
In this article, the Grebennikov cubic spline, the Ryabenky cubic spline, and we offer the local interpolation cubic spline models are selected. The construction details of the models were given and the processes of approximating the functions were performed using selected local cubic splines. We can also say that the local interpolation cubic spline models…
Read MoreSharpniZer: A C# Static Code Analysis Tool for Mission Critical Systems
Until recent years, code quality was not given due significance, as long as the system produced accurate results. Taking into account the implications and recent losses in critical systems, developers have started making use of static code analysis tools, to assess the eminence of source code in terms of quality. Static code analysis is conducted…
Read MoreUsing Envelope Analysis and Compressive Sensing Method for Intelligent Fault Diagnosis of Ball Bearing
Bearings are the key components of many rotating machines, in which serious failure or even major breakdown may occur due to their abnormal operation and defects. Thus, accurate fault diagnoses of bearing elements are essential for proactive predictive maintenance. However, the using of multiple sensors with high sampling rate reveal considerable shortages in the analysis…
Read MoreModelling and Simulation of Reduce Harmonic Distortion in Non-linear Loads
Harmonic distortion is a problem that can be caused by the use of power electronic devices. The effect of harmonics has an impact on changes in the input voltage source waveform which is referred to as wave defects. This incident has an impact on electronic faults and overheating of the power transformer coil as a…
Read MoreDamage Accumulation Model for Cracked Pipes Subjected to Water Hammer
During service, oil and gas pipelines may be exposed to cyclical loads during service, which may lead to a structural failure. Failure is due in most cases to cracks in the structure. Mechanics of the propagation of surface cracks pose a serious challenge and, therefore, models are required to help analyze it. In this study,…
Read MoreStudy of Wrinkling and Thinning Behavior in the Stamping Process of Top Outer Hatchback Part on the SCGA and SPCC Materials
The objective of the research is to determine the changes in wrinkling and thinning behavior in the stamping process of the top outer hatchback. The study was conducted using two types of materials, i.e., SCGA (Steel Cold rolled Galvanized Annealed) and SPCC (Steel Plate Cold rolled Coiled) with a thickness of 0.80 mm. During the…
Read MoreOptimization of the Electrical Discharge Machining of Powdered Metallurgical High-Speed Steel Alloy using Genetic Algorithms
Through the Electrical Discharge Machining, the temperature is very high, which can lead to the material phase’s transformation and affects material properties, which can lead to failure of the products in the industry. This study aims to investigate the effect of a new input parameter (pulse cycle time Tc), with other parameters on the EDM…
Read MorePerfect Molding Challenges and The Limitations “A Case Study”
Driven by today’s market demand, semiconductor is pushing towards the zero-defect direction. The improvement demanded in semiconductor manufacturing is becoming increasingly challenging. In this paper, common molding defects comprise of voids, incomplete fills, and piping holes are studied systematically, focusing on three key areas: 1) Potential mold flow weakness; 2) Molding temperature stability; as well…
Read MoreAnalysis of Drain Current Transient Response of Gate Pulse Voltage in AlGaN / GaN High Electron Mobility Transistors
Recently, several studies focus on a GaN material system that exhibits a significant probability of use in power devices including wide-gap semiconductors. However, the GaN-HEMT is also a structure that easily leads to crystal defects in AlGaN and i-GaN heterojunction. The aim of the study involved investigating the cause of the current collapse in GaN-HEMT…
Read MoreOn The Development of a Reliable Gate Stack for Future Technology Nodes Based on III-V Materials
In this work, we discuss how the insertion of a LaSiOx layer in between an in-house IL passivation layer and the high-k has moved the III-V gate stack into the target window for future technology nodes. The insertion of this LaSiOx layer in the gate stack has reduced the Dit and Nbt below the target…
Read MoreDevelopment of Indicators for Technical Condition Indexing of Power Transformers
Reliable operation of a power transformer with a certain load depends on the technical condition of individual construction parts and the ability to prevent defects that can cause a failure. During the lifecycle of a transformer, valuable data is constantly accumulated, which forms the basis for technical or risk assessment of the equipment. Therefore it…
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