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# IET Science, Measurement & Technology

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

• ### Reliable protection scheme for PV integrated microgrid using an ensemble classifier approach with real-time validation

Publication Year: 2018, Page(s):200 - 208
| | PDF (3533 KB)

The need for enhancing grid resilience has led to wider acceptance of photo voltaic (PV) integrated microgrid. The variation in fault current during grid connected and islanding operation makes the microgrid protection task challenging. A protection scheme based on ensemble of classifiers has been devised by exploiting the effectiveness of a classifier set coupled with voting strategy. Unlike the ... View full abstract»

• ### Rapid multi-objective design optimisation of switched reluctance motors exploiting magnetic flux tubes

Publication Year: 2018, Page(s):223 - 229
| | PDF (3829 KB)

The magnetic design of switched reluctance (SR) motors is inherently a hierarchical process. The design cycle progresses through distinct stages where the accuracy improves but computing times increase greatly, thus it often becomes impractical to furnish extensive multi-objective optimisation required to accomplish the optimal design. In order to enable rapid and accurate optimisation of SR motor... 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»

• ### 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»

• ### Design and analysis of a broadband 4-way high power combiner in the VHF/UHF band

Publication Year: 2018, Page(s):255 - 261
| | PDF (3146 KB)

In this study, a four-way power combiner using four equally designed 2-way power combiners is introduced. The physical structure of the combiner is such that the components and connections are symmetrically arranged. In the final section of the power combiner, two 2-way combiners are connected in parallel, which helps for easier circuit alignment and better electrical properties. The 2-way power c... View full abstract»

• ### Fault line detection method based on the improved SVD de-noising and ideal clustering curve for distribution networks

Publication Year: 2018, Page(s):262 - 270
| | PDF (3142 KB)

This study proposes an adaptive fault line detection method based on the improved singular value decomposition (SVD) de-noising and ideal clustering curve for distribution networks. First, the improved SVD algorithm is introduced to obtain the pure transient zero sequence current. Then, the fast Fourier transformation is employed to analyse the baseband signal and calculate the phase differences. ... 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»

• ### Proposal of a novel fitness function for evaluation of wavelet shrinkage parameters on partial discharge denoising

Publication Year: 2018, Page(s):283 - 289
| | PDF (2786 KB)

Partial discharge (PD) measurement is an efficient method for monitoring the integrity of the high-voltage equipment. However, extensive interferences can compromise the measured PD signals. After the acquisition, a post-processing algorithm is required for the effective extraction of PD signals from noise. The wavelet shrinkage is one of the most popular tools used in such application. The wavele... 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»

• ### 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»

• ### Time–frequency analysis of PD-induced UHF signal in GIS and feature extraction using invariant moments

Publication Year: 2018, Page(s):169 - 175
| | PDF (3522 KB)

The ultra-high-frequency (UHF) method is efficient in partial discharges (PDs) detection in gas-insulated switchgear (GIS). The features extraction of UHF signals is significant for propagation characteristics analysis and PD pattern classification. The PD-induced UHF signals are acquired by the internal UHF sensors in an actual 252 kV L-shaped GIS. The short-time Fourier transform method is appli... View full abstract»

• ### Radio location of partial discharge sources: a support vector regression approach

Publication Year: 2018, Page(s):230 - 236
| | PDF (2949 KB)

Partial discharge (PD) can provide a useful forewarning of asset failure in electricity substations. A significant proportion of assets are susceptible to PD due to incipient weakness in their dielectrics. This study examines a low cost approach for uninterrupted monitoring of PD using a network of inexpensive radio sensors to sample the spatial patterns of PD received signal strength. Machine lea... 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»

• ### 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»

• ### Contingency constrained phasor measurement units placement with n − k redundancy criterion: a robust optimisation approach

Publication Year: 2018, Page(s):151 - 160
| | PDF (1256 KB)

This study presents a novel approach for the contingency constrained phasor measurement units (PMUs) placement. The proposed approach is based on n - k redundancy criterion using robust optimisation. This security criterion ensures observability of the network under any contingency state, containing the loss of up to k PMUs. In the proposed method, the effects of zero injection and p... 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»

• ### FDST-based PQ event detection and energy metering implementation on FPGA-in-the-loop and NI-LabVIEW

Publication Year: 2017, Page(s):453 - 463
| | PDF (8179 KB)

Power quality (PQ) is crucial parameter in determining the robustness and accuracy of any energy-metering algorithm. It immensely affects the performance of energy meters in terms of measurement accuracy. This study presents digital implementation of fast discrete Stockwell transform (FDST) with automatic scaling for accurate PQ-event detection (ED) and energy metering. Comparative analysis of FDS... 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»

• ### Method for estimation of location of the asymmetrical phase-to-ground faults existing during an overhead line energisation

Publication Year: 2018, Page(s):237 - 246
| | PDF (2984 KB)

Fast and precise location of faults in power transmission lines is essentially important for fast line restoration. Widely used fault location methods based on impedance measurement and travelling wave analysis have some drawbacks leaving a lot of room for further research. This study proposes a novel method for estimation of the location of the asymmetrical phase-to-ground faults that exist durin... 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»

• ### Accelerating frequency domain dielectric spectroscopy measurements on insulation of transformers through system identification

Publication Year: 2018, Page(s):247 - 254
| | PDF (3147 KB)

Frequency domain dielectric spectroscopy (FDS) is a non-destructive method widely used to evaluate the state of dielectric materials. Traditional FDS measurement is conducted in frequency sweep mode between 1 kHz and 1 mHz. However, this method requires long measurement time when sweeping in low frequencies (1 mHz-1 Hz), thereby limiting its field applications. Hammerstein model is selected as the... 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»

• ### 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»

• ### 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»

• ### Numerical calculation of CHTC on end metal parts and flow in end region of a turbogenerator

Publication Year: 2018, Page(s):193 - 199
| | PDF (6213 KB)

The convection heat transfer coefficient (CHTC) distribution of surfaces of end metal parts directly affects the temperature distribution of end metal parts. In this study, a large turbogenerator is analysed. To study the CHTC distribution of surfaces of end metal parts in detail, a three-dimensional (3D) fluid and thermal analysis model of whole turbogenerator end region is established. The losse... 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»

• ### Research on conditional characteristics vision real-time detection system for conveyor belt longitudinal tear

Publication Year: 2017, Page(s):955 - 960
| | PDF (2278 KB)

Conveyor belt longitudinal tear is one of the most serious problems in coal mining. Existing systems cannot realise lossless and real-time detection for longitudinal tear of conveyor belt. Currently, visual detecting systems are proposed by many researchers and are becoming the future trend. A visual recognition system based on using laser and area light sources is designed in this study, which ca... 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»

• ### Multifractal detrended fluctuation analysis based novel feature extraction technique for automated detection of focal and non-focal electroencephalogram signals

Publication Year: 2017, Page(s):1014 - 1021
| | PDF (2361 KB)

In this contribution, a method to segregate electroencephalogram (EEG) signals into focal (F) and non-focal (NF) groups has been proposed, employing a novel multifractal detrended fluctuation analysis (MFDFA)-based feature sets. Manifestations in the fractal behaviour occurring due to the subtle morphological changes in F and NF EEG signals, can serve as an essential presurgical intervention for a... 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»

• ### Partial discharge within a spherical cavity in a dielectric material as a function of cavity size and material temperature

Publication Year: 2012, Page(s):52 - 62
Cited by:  Papers (15)
| | PDF (915 KB)

For high-voltage components, the measurement of partial discharge (PD) is a useful tool for performance assessment of electrical insulation. In this study, experimental measurements of PD activity for different spherical cavity sizes and material temperatures have been performed. A simulation model representing PD behaviour within spherical cavities in homogeneous dielectric materials has also bee... View full abstract»

• ### Frequency estimation via weighted multipoint interpolated DFT

Publication Year: 2008, Page(s):1 - 8
Cited by:  Papers (27)
| | PDF (942 KB)

A weighted multipoint interpolated discrete Fourier transform (WMIpDFT) method for high accuracy frequency estimation of a multi-frequency signal component is presented. This method uses the maximum sidelobe decay windows. The relationships to estimate the frequency when an H-term maximum sidelobe decay window (H ges 2) is used for (2J + 1)-point interpolation (1 les J les H + 1) are given. The ef... View full abstract»

• ### Dynamic tension test and intelligent coordinated control system of a heavy scraper conveyor

Publication Year: 2017, Page(s):871 - 877
| | PDF (3820 KB)

In this study, a dynamic tension test and an intelligent coordinated control system were designed for the monitoring of the dynamic tension of a heavy scraper conveyor and the realisation of coordinated control for driving scraper conveyor sprockets under a heavy load. As a subsystem, the dynamic tension test system is composed of strain gages, a wireless signal-transmitting device, and a piezoele... View full abstract»

• ### Effect of charge accumulated at oil–paper interface on parameters considered for power transformer insulation diagnosis

Publication Year: 2018, Page(s):411 - 417
| | PDF (2637 KB)

Polarisation and depolarisation current (PDC) measurement and analysis is one of the popular tools for effective diagnosis of power transformer insulation. Normally, it is assumed that polarisation current is the combination of the current due to dipole movement and conduction current. Similarly, the depolarisation current is only due to the relaxation of dipoles. However, it is found that after e... View full abstract»

• ### Performance studies on dielectric and physical properties of eco-friendly based natural ester oils using semi-conductive nanocomposites for power transformer application

Publication Year: 2018, Page(s):323 - 327
| | PDF (2220 KB)

In recent years, the interests on ester-based insulating oil as replacement of mineral oil in large power transformers are growing remarkable manner because of its environmental impact. Green insulating natural ester oil derived from natural sources results in higher biodegradability, fire resistant properties and so on. This research work presents the evaluation of dielectric and physical propert... View full abstract»

• ### Numerical simulation of electromagnetic coupling in explicitly meshed wiring looms and bundles

Publication Year: 2018, Page(s):176 - 181
| | PDF (5288 KB)

In this study, the unstructured transmission line modelling (UTLM) method based on a tetrahedral mesh is applied to model the electromagnetic coupling into wire looms and bundles with multiple cores that are typical of an aircraft system, when they are exposed to plane wave illuminations. The impact on the electromagnetic coupling into wires of both bundle configuration and the positioning of the ... 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»

• ### Intelligent robust PI adaptive control strategy for speed control of EV(s)

Publication Year: 2016, Page(s):433 - 441
Cited by:  Papers (3)
| | PDF (496 KB)

The intensive non-linear system and plants of modern industry highly motivating researcher to extend and evolve non-linear control systems. In this study, in order to control a class of non-linear uncertain power systems in the presence of large and fast disturbances, a new simple indirect adaptive proportional-integral is proposed. For handling dynamic uncertainties, the proposed controller utili... View full abstract»

• ### Compensating the effect of residual dipole energy on dielectric response for effective diagnosis of power transformer insulation

Publication Year: 2018, Page(s):314 - 322
| | PDF (2073 KB)

Analysis of relaxation current is a widely accepted method for diagnosis of power transformer insulation. The accuracy of such diagnostic tool is dependent on insulation model parameters which are formulated using relaxation current. This implies that the accuracy and hence the reliability of existing insulation diagnosis methods indirectly depends on the accuracy of the recorded polarisation depo... View full abstract»

• ### Calibration of triaxial MEMS vector field measurement system

Publication Year: 2014, Page(s):601 - 609
Cited by:  Papers (1)
| | PDF (854 KB)

Triaxial MEMS vector field measurement system with triaxial MEMS sensors, such as accelerometer and magnetometer, is typically used to acquire navigation information in strap-down inertial navigation system (SINS). The navigation accuracy of the body is directly affected by the measurement accuracy of the measurement system. This study presents a two-step calibration algorithm for the triaxial MEM... 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»

• ### Eddy current sensor based velocity and distance estimation in rail vehicles

Publication Year: 2015, Page(s):875 - 881
Cited by:  Papers (1)
| | PDF (411 KB)

The precise localisation of rail vehicles is fundamental to the development and employment of more efficient train control systems in security, logistics and disposition applications. A key element of this is the exact and reliable velocity and distance estimation. The popular satellite navigation (global navigation satellite systems) and visual odometry, based on optical systems, tend to fail in ... View full abstract»

• ### Switch fault diagnosis and capacitor lifetime monitoring technique for DC–DC converters using a single sensor

Publication Year: 2016, Page(s):513 - 527
| | PDF (2278 KB)

Owing to the key role of the power electronic converters in various applications, their reliability is an important issue. The electrolytic capacitor and the power switch are the most vulnerable components of the converters. On fault occurrence in these components, a suitable remedial strategy should be employed to prevent further damages. The first step in any remedial strategy is fault diagnosis... View full abstract»

• ### Statistical investigation of AC breakdown voltage of nanofluids compared with mineral and natural ester oil

Publication Year: 2016, Page(s):644 - 652
Cited by:  Papers (3)
| | PDF (695 KB)

In this study, three different insulating liquids, natural ester, mineral oil which is currently used by the Public Power Corporation of Greece and a nanofluid of surface coated Fe3O4 nanoparticles into a natural ester matrix, were subjected to AC voltage stress and their statistical breakdown voltage was measured and compared. Three different electrode configurations were us... 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»

• ### Simultaneous location of two partial discharge sources in power transformers based on acoustic emission using the modified binary partial swarm optimisation algorithm

Publication Year: 2013, Page(s):112 - 118
Cited by:  Papers (9)
| | PDF (727 KB)

One of the main methods for partial discharge (PD) source localisation in power transformers is acoustic emission measurements. This study describes a new method for detection and location of two simultaneous partial discharge sources in three-phase power transformer. In this method, acoustic signals are detected by sensors first and are then denoised using a wavelet transform. Finally, the two PD... View full abstract»

• ### Accuracy study for lock-in amplifiers in a scanning near-infrared spectrometer

Publication Year: 2017, Page(s):886 - 891
| | PDF (3209 KB)

When a lock-in amplifier was employed in a scanning near-infrared spectrometer, there was the problem of low signal-to-noise ratio (SNR) of spectra. This study investigates the impact of unstable measured signal frequency in the lock-in amplifier. The analysis concludes that when the frequency of the measured signal and reference signal are not equal due to frequency fluctuations, the amplitude de... 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»

• ### Valve saturable reactor iron losses of ultrahigh-voltage direct current converter

Publication Year: 2016, Page(s):77 - 83
Cited by:  Papers (3)
| | PDF (656 KB)

Thyristor-based line-commutated converters (LCCs) are widely used to achieve AC/DC and DC/AC power conversions in UHVDCs (ultrahigh-voltage direct currents) transmission. Valve saturable reactors are used to protect power thyristors. To improve the efficiency of bulk electricity transmission over long distance, the operating voltage and current of UHVDCs and therefore the thermal stresses applied ... View full abstract»

• ### Alternative framework of the Gaussian filter for non-linear systems with randomly delayed measurements and correlated noises

Publication Year: 2018, Page(s):161 - 168
| | PDF (2609 KB)

Compared with the normal Gaussian filter that measurements are acquired in real-time and process and measurement noises are independent, the authors study a class of non-linear state estimation problems with one-step randomly delayed measurements and correlated noises. Using a novel alternative framework, where the process and measurement noises are as the augment of the state vector, the author c... 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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