Showing papers in "Measurement in 2015"

TL;DR: This paper systematically introduces research progress of the Intrinsic self-sensing concrete, with attentions to its compositions, fabrication methods, sensing signal testing methods, sensed properties and generation mechanism, and structural applications.

TL;DR: In this paper, a hybrid model for fault detection and classification of motor bearing is presented, where the permutation entropy (PE) of the vibration signal is calculated to detect the malfunctions of the bearing.

TL;DR: Comparison between the coefficients of determination, R2, obtained through conventional ANN and PSO-based ANN techniques reveal the superiority of the PSO -based ANN model in predicting UCS.

TL;DR: Evaluated performance of cameras integrated UAV for geomatic applications by the way of Digital Elevation Model (DEM) generation in a small area shows that the data derived from UAV Photogrammetry have adequate accuracy very much alike to RTK GPS data, so it is possible to use the UAV photogrammetry data as map producing, surveying, and some other engineering applications with the advantages of low-cost, time conservation, and minimum field work.

TL;DR: In this article, a support vector machine (SVM) was applied and developed to predict ground vibration in blasting operations of Bakhtiari Dam, Iran, where 80 blasting works were investigated and results of peak particle velocity (PPV) as a vibration index, distance from the blast-face and maximum charge per delay were measured and monitored to utilize in the modeling.

TL;DR: A method to measure three dimensional (3D) structural displacements using a motion capture system (MCS) with a high accuracy and sampling rate and can overcome the limitations of the sampling frequency in 3D measurements by terrestrial laser scanning and global positioning system (GPS).

TL;DR: The proposed on-line training strategy achieves a better prediction precision as well as improves the operating efficiency for battery RUL estimation and presents an incremental optimized RVM algorithm to the model via efficient on-lines training.

TL;DR: In this paper, the effect of cutting parameters (cutting speed, feed rate, and approach angle) on roughness in turning of Al 7075 hard ceramic composite (10.5% SiC) and Al 775 hybrid composite (7.5%).

TL;DR: In this paper, the authors present a literature survey to access the state-of-the-art development in partial discharge classification, which varies greatly in terms of classification techniques used, choice of feature extraction, denoising method, training process, artificial defects created for training purposes and performance assessment.

TL;DR: In this paper, the effect of milling parameters on surface roughness and cutting force using an uncoated carbide insert was investigated using an ANN and regression analysis with a mean squared error equal to 2.25% and 6.66% respectively.

TL;DR: In this paper, the adsorption and inhibitory effects of the pyridine derivatives, namely 2-amino-6-(2,4-dihydroxyphenyl)-4-(4-methoxymhenyl)nicotinonitrile (ADP) and 2amino 4-(4,methoxide-phenyl)-6-phenylon (AMP), on N80 steel corrosion in 15% HCl were investigated.

TL;DR: In this paper, a novel fault diagnosis method combining LMD method, sample entropy and energy ratio for roller bearings is put forward by using the Support Vector Machine (SVM) classifier to make classification.

TL;DR: In this article, a method based on dual modality densitometry using artificial neural network (ANN) was presented to first identify the flow regime and then predict the void fraction in two-phase flows.

TL;DR: In this article, the tensile and compression strengths of natural and treated soft soil were investigated using the indirect tensile test and unconfined compressive test, and the results revealed that both tensile strength and compression strength increased with the addition of lime, coir fiber and the increasing of the curing time.

TL;DR: In this article, the effect of the cutting speed, the feed rate, and the titanium alloys on response variables such as the cutting force, feed force and the cutting tool temperature was investigated using the Taguchi techniques.

TL;DR: The performance of weighted NB is better than regular NB and many other existing methods as well as a comparison with the existing methods in the literature.

TL;DR: In this paper, a weak fault feature information extraction method of planetary gear based on Ensemble Empirical Mode Decomposition (EEMD) and Adaptive Stochastic Resonance (ASR) is proposed.

TL;DR: In this paper, the effect of boron-based fire retardants and fiber loading on mechanical, fire and thermal performances of impregnated spruce wood flour (WF) filled high density polyethylene composites was investigated.

TL;DR: In this paper, a demodulation technique based on improvement empirical mode decomposition (EMD) is investigated, which has a shape controlling parameter compared with the cubic Hermite interpolation algorithm.

TL;DR: The results of DSM accuracy investigation demonstrate the quality of UAV Photogrammetry product with the use of appropriate number of GCPs, as well as demonstrating the efficiency and accuracy generating standard mapping products.

TL;DR: In this article, a hybrid approach using probabilistic principal component analysis (PPCA) and spectral kurtosis (SK) is proposed to detect rolling element bearing faults, where the primary information and fault signals are preserved in the principal component subspace, while noises and linear interrelated information will be discarded by projected to the residual subspace.

TL;DR: In this article, a metrological comparison between Kinect I and Kinect II laser scanners was made using a standard artefact based on 5 spheres and 7 cubes, and the accuracy and precision tests were done for different ranges and changing the inclination angle between each sensor and the artefact.

TL;DR: A novel method that integrates the LS-SVM and Empirical Mode Decomposition (EMD) is proposed to improve the performance of conventional EMD to achieve IMFs through removal of the smoothed local mean curve.

TL;DR: In this paper, the authors used fuzzy TOPSIS and grey relational analysis of optimum cutting parameter values to generate optimum surface roughness values to obtain high productivity in the manufacturing of turning geometries.

TL;DR: In this article, the machined surface characterization, tool wear mechanism and chip morphology are investigated, along with optimization and development of mathematical models for surface roughness and flank wear in hard turning of AISI 4140 steel using PVD-TiN-coated Al 2 O 3 ǫ+ǫ-TiCN mixed ceramic inserts under dry environment.

TL;DR: In this paper, the authors investigated the influence of various EDM process parameters like pulse current (Ip), pulse-on time (T on ), tool work time ( T w ), and tool lift time (t up ) on various aspects of surface integrity like white layer thickness (WLT), surface crack density (SCD), surface roughness (SR), and dimensional accuracy, characterized by over cut (OC).

TL;DR: The methodology forms a novel framework for surface defect detection and classification that has a potential to automate the inspection process and the introduction of this Gaussian scale spacing concept could reduce the computation without compromising on the accuracy.

TL;DR: In this article, the application of non-contact type (thermal energy based) pulsed CO2 laser cutting process on Al6061/SiCp/Al2O3 composite was reported.

TL;DR: In this paper, a new connected cruise control strategy considering multiple preceding cars' velocity changes with memory is designed to improve roadway traffic mobility, enhance traffic safety and reduce fuel consumptions and exhaust emissions.

TL;DR: In this paper, a series of drilling experiments were performed for collection and measurement of the aforementioned outputs through Taguchi design of experiment, and the results suggest that both residual strength and delamination factor were more sensitive to the change in feed rate, followed by spindle speed and tool geometry.