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Papers tagged with "Fault"
Design And Development Of A Series Regulated Integrated Starter Generator (ISG) Controller With Diagnostic Features
Modern Automotive Systems Require Efficient Electrical Power Generation And Management Due To Increasing Electrical Loads And Stringent Emission Regulations. Conventional Vehicles Utilize Separate Starter Motors And Alternators For Engine C...
IoT-Based Smart Street Light Fault Detection And Reporting System Using ESP32 And Blynk Cloud Platform
Traditional Street Lighting Operates On Fixed Schedules With No Fault Detection, Causing Energy Waste, Delayed Maintenance, And Safety Risks. This Paper Proposes An IoT-Based Smart Street Light Fault Detection And Adaptive Brightness Contro...
DEEP LEARNING-DRIVEN PREDICTIVE MAINTENANCE FOR ARTIFICIAL YARN MACHINE WITH REAL-TIME IOT DEPLOYMENT
Predictive Maintenance Has Emerged As A Critical Requirement In Modern Textile Manufacturing To Minimize Machine Downtime And Improve Operational Efficiency. This Research Presents A Deep Learning–based Predictive Maintenance System For Art...
Intelligent Multi-Sensor Security And Hazard Detection System Using IoT
Modern Residential And Industrial Environments Require Intelligent Monitoring Systems Capable Of Identifying Security Threats And Hazardous Conditions In Real Time. Conventional Safety Systems Often Rely On Isolated Sensors Or Manual Superv...
IOT BASED FIRE PREVENTION SYSTEM FOR ELECTRIC VEHICLE BATTERIES
Electric Vehicles Require Intelligent Monitoring To Ensure Safety, Efficiency, And Longevity. This Study Proposes An IoT-enabled Battery Monitoring And Fault Detection System Targeting Risks Like Overheating, Voltage Imbalance, And Fire Haz...
Hybrid Deep Learning Model For Early Fault Detection In Energy-Intensive Tablet Press Equipment: MLP–1D CNN Fusion For EMIS Applications
Fault Detection In Pharmaceutical Tablet Press Equipment Is Crucial For Ensuring Product Quality, Minimizing Downtime, And Reducing Energy Consumption In Energy-intensive Manufacturing Environments. This Study Presents A Hybrid Deep Learnin...
Dynamic IT Support System With Intelligent Triage And Operational Memory
Modern Office IT Environments Are Highly Complex And Often Experience Unexpected System Failures That Impact Productivity And Increase Operational Costs. Traditional IT Support Systems Follow A Reactive Approach, Where Issues Are Addressed...
TOPOLOGY USING NS2 AND CISCO PACKET TRACER
The Star Topology Is A Fundamental Network Architecture Widely Adopted For Its Simplicity, Centralized Management, And Ease Of Troubleshooting. In This Paper, We Present A Comprehensive Simulation And Analysis Of The Star Topology Using NS2...
Intelligent Fault Diagnosis In Cascaded Multilevel Inverters Using Multiscale Kernel CNN
This Paper Proposes An Intelligent Fault Diagnosis Method For Cascaded Multilevel Inverters Using A Multiscale Kernel Convolutional Neural Network (CNN). The Approach Leverages The Ability Of CNNs To Extract Features From Signals And Diagno...
IoT Based Enhanced Fault Detection And Real Time Monitoring For Underground Cables
The Detection Of Faults In Underground Cables Is Crucial For Maintaining The Reliability And Efficiency Of Electrical Power Distribution Systems. Traditional Methods Of Detecting Faults In Underground Cables Often Involve Manual Inspection,...
FAULT-TOLERANT REVERSIBLE-LOGIC BASED RO-PUF FOR SECURE DEVICE AUTHENTICATION
Protecting Data And Hardware Is Vital, Drivingthe Adoption Of Physically Unclonable Functions (PUFs) For Generating Unique Circuit Signatures. This Paper Introduces A Fault-tolerant System Featuring A Ring-oscillator (RO) Based PUF, Utilizi...
MULTIPLE MOTOR FAULT MONITORING INFORMATION USING WSN TO INCREASE PRODUCTION
Fault Identification In Three-phase Induction Motors Is A Critical Aspect Of Industrial Operations, Aimed At Preventing Costly Downtimes And Ensuring Operational Safety. Induction Motors Play A Vital Role In Various Industrial Applications,...
Fault Monitoring And Diagnosis Of Wind Turbine
Wind Turbines Play A Crucial Role In Renewable Energy Generation But Are Prone To Mechanical And Electrical Faults, Leading To Reduced Efficiency And High Maintenance Costs. This Paper Presents A Real-time Fault Monitoring And Diagnosis Sys...
Fault Detection And Restoration Through Wavelet Transform In Grid System
Fault Detection And Restoration Through Wavelet Transform Refers To The Advanced Methodologies Employed To Identify And Mitigate Faults In Electrical Systems Using Wavelet Analysis. The Growing Complexity And Non-linearity Of Signals Genera...
Enhancing Multipath Transmission Control Protocol Performance with Cognitive Radio for Dynamic Network Optimization and Efficiency
This Research Introduces An Advanced System That Integrates Multipath TCP (MPTCP) With Cognitive Radio Technology To Optimize Network Performance Dynamically In Environments With Fluctuating Conditions Such As Variable Bandwidth, Latency, A...