# IET Science, Measurement & Technology

Includes the top 50 most frequently accessed documents for this publication according to the usage statistics for the month of

• ### Multi-resonant FLL-based control algorithm for grid interfaced multi-functional solar energy conversion system

Publication Year: 2018, Page(s):49 - 62
| |PDF (10655 KB)

This study presents a single-stage solar energy conversion system tied to a three-phase grid using a multiple second-order generalised integrator frequency locked loop (MSOGI-FLL)-based control algorithm to improve power quality of the distribution system with DSTATCOM (Distribution Static Compensator) capabilities. The estimated perturb and observe algorithm is used for maximum power point tracki... View full abstract»

• ### High-impedance fault detection in electrical power distribution systems using moving sum approach

Publication Year: 2018, Page(s):1 - 8
| |PDF (2901 KB)

High-impedance faults (HIFs) in electrical power distribution systems produce a very random, non-linear and low-magnitude fault current. The conventional overcurrent (OC) relaying-based distribution system protection schemes find difficulty in detecting such low-current HIFs. In this study, a simple two criteria-based protection scheme is proposed for detection and isolation of HIFs in multi-feede... View full abstract»

• ### Complete protection scheme for fault detection, classification and location estimation in HVDC transmission lines using support vector machines

Publication Year: 2017, Page(s):279 - 287
| |PDF (4224 KB)

This paper presents a complete protection scheme for detecting, classifying and locating the fault in HVDC transmission lines using support vector machines (SVM). SVM has been used for protective relaying application in HVAC transmission line, however very limited works have been reported for HVDC transmission line. In this work, a ±500 kV HVDC transmission system is developed in PSCAD/EMTD... View full abstract»

• ### Multiclass power quality events classification using variational mode decomposition with fast reduced kernel extreme learning machine-based feature selection

Publication Year: 2018, Page(s):106 - 117
| |PDF (4456 KB)

In this study, a modern adaptive signal processing technique called variational mode decomposition (VMD) has been used for power quality (PQ) events detection. Numerous single, as well as multiple PQ events, are simulated according to IEEE std. 1159-2009 and laboratory experimental signals are collected and passed through the VMD algorithm. VMD decomposes the signal into different modes and from t... View full abstract»

• ### Feature extraction of power transformer vibration signals based on empirical wavelet transform and multiscale entropy

Publication Year: 2018, Page(s):63 - 71
| |PDF (3196 KB)

To achieve an effective feature extraction for power transformer vibration signals, the authors propose a method for signal feature extraction based on empirical wavelet transform (EWT) and multiscale entropy (MSE). First, transformer vibration signals are decomposed into several empirical wavelet functions (EWFs) with the method of EWT. Then, the frequency characteristics of signals are demonstra... View full abstract»

• ### Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

Publication Year: 2017, Page(s):687 - 695
| |PDF (4738 KB)

Condition monitoring and fault diagnosis are important for maintaining the system performance and guaranteeing the operational safety. The traditional data-driven approaches mostly incorporate well-defined features and methodologies such as supervised artificial intelligence algorithms. Prior knowledge of possible features and a large quantity of labelled condition data are needed. Besides, many t... View full abstract»

• ### Partial discharge detection by extracting UHF signal from inner grading electrode of insulating spacer in GIS

Publication Year: 2018, Page(s):90 - 97
| |PDF (5697 KB)

In this study, a novel ultra-high frequency (UHF) sensor using an inner grading electrode inside an insulting spacer is employed to detect gas-insulated switchgear (GIS) partial discharge (PD). The simulation of the waveguide modes of the 252 kV GIS and the frequency response characteristics of this UHF sensor are performed by using the finite difference time domain (FDTD) method. Three kinds of t... View full abstract»

• ### Low-cost automotive wireless instrumentation: is it possible?

Publication Year: 2018, Page(s):33 - 38
| |PDF (2806 KB)

Automotive instrumentation is an important process to guarantee quality and safety for the drivers and passengers of vehicles. At the same time, it is a time-consuming task, because engineers must setup the system, which includes the passing of cables through the vehicle and the configuration of equipments. A wireless automotive instrumentation system can certainly help on reducing the instrumenta... View full abstract»

• ### Towards realisation of wireless sensor network-based water pipeline monitoring systems: a comprehensive review of techniques and platforms

Publication Year: 2016, Page(s):420 - 426
Cited by:  Papers (3)
| |PDF (373 KB)

Huge quantities of water are wasted on a daily basis worldwide because of leakages in water-transporting infrastructures causing water shortage, injuries, and so on. This problem is typically worsened by the lack of advanced monitoring systems. In this respect, wireless sensor networks (WSNs) have revolutionised water-monitoring systems providing reliable inspection, feasible communication and per... View full abstract»

• ### Time–frequency representation using IEVDHM–HT with application to classification of epileptic EEG signals

Publication Year: 2018, Page(s):72 - 82
| |PDF (3288 KB)

Time-frequency representation (TFR) is useful for non-stationary signal analysis as it provides information about the time-varying frequency components. This study proposes a novel TFR based on the improved eigenvalue decomposition of Hankel matrix and Hilbert transform (IEVDHM-HT). In the proposed method, first the authors decompose non-stationary signals using the IEVDHM with suitably defined cr... View full abstract»

• ### Bidding strategies of the joint wind, hydro, and pumped-storage in generation company using novel improved clonal selection optimisation algorithm

Publication Year: 2017, Page(s):991 - 1001
| |PDF (1632 KB)

The wind and hydro technologies express a significant part of the electricity generation section. This study presents an optimal coordinated bidding strategy of wind, cascaded hydro generation, and pumped-storage (PS) units. One of the chief purposes of this study is maximisation the profit of the wind and hydro plants by participating in the day-ahead energy and ancillary service markets. The reg... View full abstract»

• ### Backup protection scheme for transmission line compensated with UPFC during high impedance faults and dynamic situations

Publication Year: 2017, Page(s):703 - 712
| |PDF (5060 KB)

This study presents a backup protection scheme for transmission line compensated with unified power flow controller (UPFC) using power differential protection algorithm. In this scheme, power differential feature is evaluated from the apparent power flow in each phase at the local and remote bus to discriminate between the fault and normal situation. The proposed protection algorithm can be integr... View full abstract»

• ### Condition assessment of power transformers based on multi-attributes using fuzzy logic

Publication Year: 2017, Page(s):983 - 990
| |PDF (2519 KB)

In this study, a new multi-criterion based fuzzy logic model has been proposed to determine the overall health index of transformers. The method relies on the concentrations of individual dissolved gasses, significant diagnostic test results of transformer oil and paper insulation. Real field data of 200 working transformers of a state owned power utility have been tested to validate the accuracy ... View full abstract»

• ### Time-efficient BER estimation approach using jitter characteristics for HBC channel

Publication Year: 2018, Page(s):145 - 150
| |PDF (5235 KB)

As a physical layer of body area network, human body communication (HBC) has become a prospective candidate with advantages of less interference and intrinsic transmission for implanted devices. Currently, its bit error rate (BER) performance has not been thoroughly reported with high confidence because the traditional BER testing method in commonly used wireless radio and optical system communica... View full abstract»

• ### Measurement error analysis of binocular stereo vision: effective guidelines for bionic eyes

Publication Year: 2017, Page(s):829 - 838
| |PDF (2764 KB)

The depth measurement error of bionic eyes consisting of two active cameras is derived by considering the eyes' rotation angle errors and image feature extraction errors. The effect factors of the depth measurement are obtained from the calculation formula of depth error. Based on the analysis of these effect factors, some effective guidelines for bionic eyes are proposed to reduce the measurement... View full abstract»

• ### Precise robust adaptive dynamic surface control of permanent magnet synchronous motor based on extended state observer

Publication Year: 2017, Page(s):590 - 599
| |PDF (3973 KB)

A novel precise position tracking controller is presented for permanent magnet synchronous motors (PMSMs). The proposed controller consisting of non-linear extended state observer (ESO), tracking differentiator (TD) and dynamic surface control (DSC) can reject disturbance and can prevent PMSMs from chaos with parameters falling into some special areas. Compared with the conventional DSC approach, ... View full abstract»

• ### Application of chaotic whale optimisation algorithm for transient stability constrained optimal power flow

Publication Year: 2017, Page(s):1002 - 1013
| |PDF (4363 KB)

Chaotic whale optimisation algorithm (CWOA) is a metaheuristic real-parameter optimisation algorithm. This study appears to be well capable of providing solution to the transient stability constrained optimal power flow (OPF) problem of power system. Basically, transient stability constrained OPF (TSCOPF) problem is the extended study of conventional OPF problem while additionally, considering tra... View full abstract»

• ### High-sensitivity structure for the measurement of complex permittivity based on SIW

Publication Year: 2017, Page(s):532 - 537
| |PDF (3941 KB)

In this study, a substrate integrated waveguide (SIW) combined with complementary split-ring resonator (CSRR) structure is proposed for high-sensitivity measurement of complex permittivity of low loss material at 2.45 GHz. The simulated results demonstrated that the small changes can be sensed through loading the CSRR structure on both sides of SIW. Then, the experiments are performed on various d... View full abstract»

• ### Robust Gaussian particle filter based on modified likelihood function

Publication Year: 2018, Page(s):132 - 137
| |PDF (5828 KB)

This study develops a robust Gaussian particle filter (RGPF) based on modifying the likelihood function by Huber's M-estimation theory. In the developed RGPF, the innovations are reweighted based on the Huber's cost function, resulting in a modified likelihood function which is then used to update the weights of the involved particles. In the normal case, the developed RGPF has a comparable perfor... View full abstract»

• ### Detection and classification of power quality disturbances based on time–frequency-scale transform

Publication Year: 2017, Page(s):802 - 810
| |PDF (4150 KB)

Under practical conditions, the power quality disturbances have a complex nature, and are often corrupted with external noise. This calls for robust detection and classification using appropriate signal processing and classification techniques. In this study, a time-frequency-scale transform is presented as a detection tool with high-noise immunity. It is a variant of chirplet transform adapted fo... View full abstract»

• ### Effect of measurement temperature on power transformer insulation diagnosis using frequency-domain spectroscopy

Publication Year: 2017, Page(s):773 - 779
| |PDF (1886 KB)

Frequency-domain spectroscopy (FDS) is a widely accepted method for the estimation of moisture content in oil-paper insulation of power transformer. Researchers have shown that measurement temperature is an important factor that not only shifts the tan δ curve both horizontally and vertically with respect to frequency axis but also affects the value of paper-moisture content of trans... View full abstract»

• ### Denoising of UHF PD signals based on optimised VMD and wavelet transform

Publication Year: 2017, Page(s):753 - 760
| |PDF (4821 KB)

The ultra-high frequency (UHF) partial discharge (PD) monitoring is one of the most effective ways to detect the insulation failure in electrical equipment. Although the UHF method avoids the intensive low-frequency noise, various electromagnetic interferences in substation can still influence its effectiveness and reliability. Most existing denoising algorithms, however, are unable to suppress di... View full abstract»

• ### Position detection method of linear motor mover based on extended phase correlation algorithm

Publication Year: 2017, Page(s):921 - 928
| |PDF (4543 KB)

This study aims to explain the real-time and high-precision requirements of linear motor mover position detection. A new sub-pixel displacement estimation based on an extended phase correlation algorithm (PCA) is proposed and applied to measure the position of the linear motor mover. This extended PCA is on the basis of singular value decomposition (SVD), which is a novel application in position m... View full abstract»

• ### Optimum acoustic sensor placement for partial discharge allocation in transformers

Publication Year: 2017, Page(s):581 - 589
| |PDF (6313 KB)

Partial discharges (PDs) are a cause of degradation of insulation system and its permanent activity monitoring is used as a tool for insulation condition assessment in power transformers. Information on PD position can be used by plant monitors to diagnose the cause of PD and can help to identify type and severity of an insulation fault for maintenance strategies. The acoustic PD detection system,... View full abstract»

• ### Emulating single point bearing faults with the use of an active magnetic bearing

Publication Year: 2018, Page(s):39 - 48
| |PDF (4466 KB)

The propagation of evolving mechanical faults in rotating electric machinery and their corresponding signatures in the machines' electrical signals is still not elucidated thoroughly. This deficiency implies serious obstructions in the development of using those signals as a complete and reliable condition monitoring technology. This study presents a new method to translate single point outer and ... View full abstract»

• ### Detection of epileptic seizure and seizure-free EEG signals employing generalised S-transform

Publication Year: 2017, Page(s):847 - 855
| |PDF (4137 KB)

In this contribution, a novel technique for classification of electroencephalogram (EEG) signals has been presented employing generalised Stockwell (S)-transform technique. S-transform is a technique for analysis of any non-stationary time series in joint time-frequency frame. In this work, epileptic seizure and seizure-free EEG signals have been taken from an available existing data... View full abstract»

• ### Optimisation of antenna array allocation for partial discharge localisation in air-insulated substation

Publication Year: 2017, Page(s):967 - 975
| |PDF (9033 KB)

Partial discharge (PD) is the symptom of insulation breakdown in power equipment. The high rising steepness of PD current radiates electromagnetic waves which can be coupled with antenna. In this study, an antenna array is applied to PD detection and localisation in air-insulated substations, in which the locations of PD sources are found with time difference of arrival localisation algorithm. The... View full abstract»

• ### Analysis of FPA and BA meta-heuristic controllers for optimal path planning of mobile robot in cluttered environment

Publication Year: 2017, Page(s):817 - 828
| |PDF (6075 KB)

This study proposes the design of two efficient nature inspired intelligent optimal controllers, flower pollination algorithm (FPA) and bat algorithm (BA) for obtaining optimal path using an autonomous mobile robot in an unknown environment. FPA is based on the pollination process of flowering plants, which transfer pollens by using different pollinators. On the contrary, BA depends on echolocatio... View full abstract»

• ### Numerical simulation on the surface charge accumulation process of epoxy insulator under needle-plane corona discharge in air

Publication Year: 2018, Page(s):9 - 16
| |PDF (3684 KB)

Most of the HV power equipment with gas-solid insulation suffers a lot from the surface charge accumulation due to corona discharge. The existence of surface charge distorts the local electric field and leads to surface flashover faults in extreme situations. As a result, it is important to figure out the mechanism of surface charge accumulation process. In this study, a simulation model combining... View full abstract»

• ### Surrogate-splits ensembles for real-time voltage stability assessment in the presence of missing synchrophasor measurements

Publication Year: 2017, Page(s):545 - 552
| |PDF (4364 KB)

This paper proposes a new machine learning approach in the presence of missing measurements using surrogate-splits ensembles for real-time voltage stability assessment comprising of the classification of the operating state of the power system, and the prediction of the power system's margin to voltage collapse. The proposed approach applied the Boosting and Bagging machine learning methods in the... View full abstract»

• ### Analysis and design of power conditioning circuit for piezoelectric vibration energy harvester

Publication Year: 2017, Page(s):723 - 730
| |PDF (6253 KB)

This study presents the design of a piezoelectric vibration energy generator with power conditioning circuit to power CMOTE wireless sensor node. The test result shows that the energy harvester produces a maximum AC output voltage of 3 V with an optimal resistive load of 200 Ω for 1.5 m/s2 acceleration at the resonant frequency of 275 Hz. The output power from the energy harveste... View full abstract»

• ### Remaining useful life estimation without needing for prior knowledge of the degradation features

Publication Year: 2017, Page(s):1071 - 1078
| |PDF (3063 KB)

This study deals with a hybrid method for the estimation of the remaining useful life (RUL) that does not require prior knowledge on the degradation phenomena, as the lack of information about the process of degradation is one of the main issues in the theory of fault prognosis of dynamic systems. The proposed method uses a dynamic model for the generation of fault indicators based on the principl... View full abstract»

• ### Analysis, control and design of speed control of electric vehicles delayed model: multi-objective fuzzy fractional-order $PI^\lambda D^\mu$PIλDμ controller

Publication Year: 2017, Page(s):249 - 261
| |PDF (8523 KB)

The purpose of this study is to suggest an optimal multi-objective fuzzy fractional-order PIλDμ controller (MOFFOPID) for the speed control of EV systems with time-delay. It is presumed that while the EV is in movement, the armature winding resistance of the direct current (DC) motor varies with time due to temperature changes and this makes it impossible to dev... View full abstract»

• ### Impact of permittivity and concentration of filler nanoparticles on dielectric properties of polymer nanocomposites

Publication Year: 2017, Page(s):179 - 185
| |PDF (4314 KB)

Electrical properties of polymeric insulators can be improved by adding high-permittivity nanofillers. In this work, the aim is to analyse the effect of filler permittivity, its size, shape, concentration and the interparticle distance on the electrical properties of the nanocomposites. Nanocomposites are fabricated with four types of fillers and with various concentrations and the effect of vario... View full abstract»

• ### Adaptive control of solar tracking system

Publication Year: 2014, Page(s):426 - 431
Cited by:  Papers (1)
| |PDF (310 KB)

In this study, an adaptive controller of a solar tracking system is designed and its performance is evaluated through computer simulation. To achieve this goal, two tracker systems based on open- and closed-loop control strategies are studied. The instantaneous and total errors that represent the differences between the tilt and rotation angles of both the open- and closed-loop systems are analyse... View full abstract»

• ### Effect of temperature on AC breakdown voltage of nanofilled transformer oil

Publication Year: 2018, Page(s):138 - 144
| |PDF (4051 KB)

Studying the effect of adding nanosized ZrO2 to mineral transformer oil on the AC breakdown voltage is presented. The study is carried out considering different concentration levels of nanosized ZrO2. These concentrations are 0, 0.001, 0.002, 0.003 and 0.006%w. The AC breakdown voltage of both nanofilled and base oil is measured according ASTM D1816 standard at room temperatu... View full abstract»

• ### Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network

Publication Year: 2010, Page(s):177 - 192
Cited by:  Papers (39)  |  Patents (1)
| |PDF (594 KB)

Partial discharge (PD) classification in power cable accessories and high voltage equipment in general is essential in evaluating the severity of the damage in the insulation. In this article, the PD classification was realised as a two-fold process. Firstly, measurements taken from a high-frequency current transformer (HFCT) sensor were represented as features by means of a transformation to the ... View full abstract»

• ### Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks

Publication Year: 2010, Page(s):193 - 205
Cited by:  Papers (41)
| |PDF (503 KB)

A novel approach for detection and classification of power quality (PQ) disturbances is proposed. The distorted waveforms (PQ events) are generated based on the IEEE 1159 standard, captured with a sampling rate of 20 kHz and de-noised using discrete wavelet transform (DWT) to obtain signals with higher signal-to-noise ratio. The DWT is also used to decompose the signal of PQ events and to extract ... View full abstract»

• ### Optimal allocation of plug-in electric vehicle capacity to produce active, reactive and distorted powers using differential evolution based artificial bee colony algorithm

Publication Year: 2017, Page(s):1058 - 1070
| |PDF (2292 KB)

Plug-in electric vehicles (PEVs) can produce active, reactive and distorted power as well as pollution reduction. This study proposes an optimisation framework to allocate the PEVs capacity to generate each power component considering to grid and vehicle constraints, technical concerns and market price. In the proposed framework, PEVs compete with active power-line conditioners (APLCs) to generate... View full abstract»

• ### Feature extraction of GIS partial discharge signal based on S-transform and singular value decomposition

Publication Year: 2017, Page(s):186 - 193
Cited by:  Papers (1)
| |PDF (5091 KB)

Partial discharge (PD) detection and recognition are of great significance to the condition monitoring of gas-insulated switchgear (GIS). In the current work, ultra-high-frequency (UHF) signals induced by PD current pulses are measured and used to represent PD source. For PD classification, feature parameters need to be extracted from UHF signals. Therefore, this study proposes a new feature extra... View full abstract»

• ### Intelligent controller for managing power flow within standalone hybrid power systems

Publication Year: 2013, Page(s):191 - 200
Cited by:  Papers (15)
| |PDF (1101 KB)

This study presents a novel adaptive management strategy for power flow in standalone hybrid power systems. The method introduces an on-line energy management by using a hierarchical controller between three energy sources: photovoltaic (PV) panels, battery storage and proton exchange membrane fuel cell. The proposed method includes a feed-forward, back-propagation neural network controller in the... View full abstract»

• ### Photovoltaic power forecasting using statistical methods: impact of weather data

Publication Year: 2014, Page(s):90 - 97
Cited by:  Papers (9)
| |PDF (623 KB)

An important issue for the growth and management of grid-connected photovoltaic (PV) systems is the possibility to forecast the power output over different horizons. In this work, statistical methods based on multiregression analysis and the Elmann artificial neural network (ANN) have been developed in order to predict power production of a 960 kWP grid-connected PV plant installed in I... View full abstract»

• ### Wireless sensor network-based solution for environmental monitoring: water quality assessment case study

Publication Year: 2014, Page(s):610 - 616
Cited by:  Papers (2)
| |PDF (408 KB)

The challenges of climate change, population growth, demographic change, urbanization and resource depletion mean that the world's great cities need to adapt to survive and thrive over the coming decades. Slashing greenhouse gas emissions to prevent catastrophic climate change, while maintaining or increasing quality of life, can be a costly and difficult process. Two factors that directly affect ... View full abstract»

• ### Condition assessment of various regions within non-uniformly aged cellulosic insulation of power transformer using modified Debye model

Publication Year: 2017, Page(s):939 - 947
| |PDF (2044 KB)

During normal operation, power transformer insulation always experiences a temperature gradient along radial direction with respect to core axis. Over time, this gradient creates non-uniform ageing within cellulosic insulation. Recent development such as Modified Debye Model (MDM) is found to be capable of modelling such non-uniformity. Owing to non-uniform ageing, measured tan δ val... View full abstract»

• ### Design and application of a mobile miniature current probe for analysing the cause of EMI noise in IC circuits

Publication Year: 2017, Page(s):655 - 665
| |PDF (12668 KB)

This study is based on International Electrotechnical Commission (IEC) 61967-4 standards for measuring electromagnetic emissions and interferences at the chip level. Conventional measurement methods using fixed SMA connectors were replaced with an improved radio frequency current probe featuring semi-rigid coaxial cables, making it capable of taking mobile measurements, enhancing the flexibility a... View full abstract»

• ### Interturn short diagnosis in small transformers through impulse injection: on-line on-load self-impedance transfer function approach

Publication Year: 2017, Page(s):961 - 966
| |PDF (2054 KB)

Electrical shorts in transformers on load can be diagnosed by frequency response analysis (FRA) using impulse or sinusoidal sweep signal. At HV laboratory of SASTRA, a low-voltage impulse based on-line on-load FRA (OLOL FRA) was carried out on a single phase 50 Hz, 1 kVA, 240 V/240 V small laboratory transformer while delivering power to lamp load, and the effectiveness in electrical short diagnos... View full abstract»

• ### Data-mining-based fault during power swing identification in power transmission system

Publication Year: 2016, Page(s):130 - 139
Cited by:  Papers (3)
| |PDF (974 KB)

This study proposes a decision-tree-based scheme for detection and classification of fault during power swing in double circuit transmission lines. The power swing may result due to switching in/out of heavy loads, switching of lines, clearance of short-circuit faults, generator tripping or load shedding. The proposed decision tree approach makes the discrimination among no fault situation/power s... View full abstract»

• ### Mobile-agent-based distributed variational Bayesian algorithm for density estimation in sensor networks

Publication Year: 2017, Page(s):861 - 870
| |PDF (2763 KB)

This study considers the problem of probability density estimation and model order selection in distributed sensor networks. For this purpose, a mobile-agent-based distributed variational Bayesian algorithm is proposed. It is assumed that the measurements can be statistically modelled by a common Gaussian mixture model. In the proposed algorithm, the problems of model order selection and probabili... View full abstract»

• ### Impedance matching network for ground eliminated open-ended resonant coil structure in distributed wireless power transmission systems

Publication Year: 2017, Page(s):856 - 860
| |PDF (3319 KB)

This study reports a novel technique utilising a standing-wave node as a virtual ground to implement an impedance matching network and power level tuning in a ground eliminated (GE) open-ended resonant coil structure. This technique with GE open-ended coils can potentially be used in wireless power transmission (WPT) systems, where an unknown metallic, ungrounded, arbitrary environment is used as ... View full abstract»

• ### Study on the difference of chemical composition of insulator contamination on UHV-AC and -DC transmission lines

Publication Year: 2018, Page(s):17 - 24
| |PDF (3812 KB)

For the ultra high voltage (UHV)-DC and UHV-AC transmission lines, their contamination characteristics are different. Thus, researching the contamination polluted degree of UHV-AC and UHV-DC lines by geoaccumulation index and enrichment factor method is an ingenious method. This study analyses and compares the chemical composition of contamination on parallel energised UHV-DC (800 kV) and UHV-AC (... View full abstract»

## Aims & Scope

IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.

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