A5055542396- High voltage insulation and dielectric phenomena
- Water Systems and Optimization
- Indoor and Outdoor Localization Technologies
- Geophysical Methods and Applications
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Ultra-Wideband Communications Technology
- RFID technology advancements
- Internet Traffic Analysis and Secure E-voting
- Speech and Audio Processing
- Sensor Technology and Measurement Systems
- Image and Signal Denoising Methods
- Magnetic Field Sensors Techniques
- Electrostatic Discharge in Electronics
- Plasma Diagnostics and Applications
- Advanced Fiber Optic Sensors
- Energy Efficient Wireless Sensor Networks
- Advanced Sensor Technologies Research
- Advanced Malware Detection Techniques
- Power Line Communications and Noise
University of Strathclyde
2015-2019
The Internet of things (IoT) is still in its infancy and has attracted much interest many industrial sectors including medical fields, logistics tracking, smart cities automobiles. However as a paradigm, it susceptible to range significant intrusion threats. This paper presents threat analysis the IoT uses an Artificial Neural Network (ANN) combat these A multi-level perceptron, type supervised ANN, trained using internet packet traces, then assessed on ability thwart Distributed Denial...
Partial discharge (PD) is regarded as a precursor to plant failure and therefore, an effective indication of condition. Locating the source PD before key efficient maintenance improving reliability power systems. This paper presents low cost, autonomous partial radiolocation mechanism improve localization precision. The proposed radio frequency-based technique uses wavelet packet transform (WPT) machine learning ensemble methods locate PDs. More specifically, received signals are decomposed...
Partial discharge (PD) is a well-known indicator of the failure insulators in electrical plant. Operators are pushing toward lower operating cost and higher reliability this stimulates demand for diagnostic system capable accurately locating PD sources especially ageing electricity substations. Existing techniques used source localisation can be prohibitively expensive. In paper, cost-effective radio fingerprinting technique proposed. This uses Received Signal Strength (RSS) extracted from...
Partial discharge (PD) can provide a useful forewarning of asset failure in electricity substations. A significant proportion assets are susceptible to PD due incipient weakness their dielectrics. This study examines low cost approach for uninterrupted monitoring using network inexpensive radio sensors sample the spatial patterns received signal strength. Machine learning techniques proposed localisation sources. Specifically, two models based on support vector machines developed: regression...
Partial discharges (PDs) are symptomatic of some localised defects in the insulation system electrical equipment. PD activity emits pulses form radio frequency (RF) signals which can be captured using appropriate sensors. The analysis measured RF facilitates localisation PD. This study investigates plausibility purely received signal features to locate at low cost. A approach based on these has been developed, with assumption that PDs generate unique spatial patterns due complexities and...
Monitoring of partial discharge (PD) activity within high voltage electrical environments is frequently used for the assessment insulation condition. Traditional measurement techniques employ technologies that require either offline installation or power consumption and cost. A wireless sensor network proposed utilizes only received signal strength to locate a high-voltage electricity substation. The comprises low-power low-cost radiometric nodes which receive radiation propagated from...
This study describes a key element of any modern wireless sensor system: data processing. The authors describe system consisting network and an algorithmic software for condition-based monitoring electrical plant in live substation. Specifically, the aim is to monitor presence partial discharge (PD) using matrix inexpensive radio sensors with limited processing capability. A low-complexity fingerprinting technique proposed, given that nodes be deployed will highly constrained terms power,...
Partial discharge (PD) that occurs due to insulation breakdown is a precursor plant failure. PD emits electromagnetic pulses which radiate through space and can be detected using appropriate sensing devices. This paper proposed an enhanced radiolocation technique locate PD. approach depends on the radio frequency spectrum extraction of location features from signals. We hypothesize statistical characterization received signals generates many represent distinct locations within substation. It...
The work reported in this paper addresses the calibration of four types partial discharge (PD) emulator required for development a PD Wireless Sensor Network (WSN). Three emulators have been constructed: floating-electrode emulator, and two internal emulators. Both DC AC HV power supplies are used to initiate which is measured using concurrent free-space radiometry (FSR) galvanic contact method based on IEC 60270 standard. A new estimating absolute activity level from radiometric measurement...
Intrusion detection has attracted a considerable interest from researchers and industry.After many years of research the community still faces problem building reliable efficient intrusion systems (IDS) capable handling large quantities data with changing patterns in real time situations.The Tor network is popular providing privacy security to end user by anonymizing identity internet users connecting through series tunnels nodes.This work identifies two problems; classification traffic...
Partial Discharge measurements contain valuable information about the state of insulation system that is useful for diagnosis electrical equipment.Signals result from on-site PD measurement are often completely buried in noise.One critical task analysis and recovery clean signals heavily contaminated measurements.Removing noise remains a serious challenge because majority encountered during has similar time frequency characteristics to desired signals.This paper presents sophisticated...