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Showing papers in "Measurement in 2013"


Journal ArticleDOI
TL;DR: In this paper, the state-of-the-art of inspection techniques and technologies towards condition assessment of water distribution and transmission mains is reviewed, including smart pipe, augmented reality, and intelligent robots.

340 citations


Journal ArticleDOI
TL;DR: It is suggested that mobile laser scanning systems can mainly be divided into two categories (mapping and surveying) depending on their final purpose, accuracy, range and resolution requirements.

337 citations


Journal ArticleDOI
TL;DR: In this article, the reliability and practicability of using high-rate carrier phase global positioning system (GPS) receivers are investigated to characterize dynamic oscillations of bridges, and a novel kind of wavelet packet-based filtering method is also proposed.

236 citations


Journal ArticleDOI
TL;DR: A new intelligent fault diagnosis scheme based on the extraction of statistical parameters from the paving of a wavelet packet transform (WPT), a distance evaluation technique (DET) and a support vector regression (SVR)-based generic multi-class solver is proposed.

222 citations


Journal ArticleDOI
TL;DR: In this paper, a review of recent progress in the optical fiber field for the measurement of humidity and moisture and examine, as a result, the breadth of applications that now are being discussed.

213 citations


Journal ArticleDOI
TL;DR: In this article, the effects of spindle speed, feed per tooth and depth of cut on tool wear, force and surface roughness were investigated using first-order models with interaction.

212 citations


Journal ArticleDOI
TL;DR: In this article, a mathematical prediction model of the surface roughness of AISI 410 steel was developed in terms of feed rate, tool nose radius, cutting speed and depth of cut.

202 citations


Journal ArticleDOI
TL;DR: In this article, a surface roughness model was proposed for hard turning by exploiting the response surface methodology (RSM) and the main input parameters of this model are the cutting parameters such as cutting speed, feed rate, depth of cut and tool vibration in radial and in main cutting force directions.

188 citations


Journal ArticleDOI
TL;DR: A technique to truthfully classify ECG signal data into two classes (abnormal and normal class) using various neural classifier is proposed using Back Propagation Network, Feed Forward Network, and Multilayered Perceptron.

187 citations


Journal ArticleDOI
TL;DR: A new method to achieve bearing degradation prediction based on principal component analysis (PCA) and optimized LS-SVM method is proposed and an accelerated bearing run-to-failure experiment proved the effectiveness of the methodology.

178 citations


Journal ArticleDOI
TL;DR: The basic aspects related with tactile sensors, including transduction techniques are revisited, and the brief analysis of the state-of-the-art of tactile sensing techniques that follows provides indicators to conclude on the future of tactile sensor techniques in the context of robotic applications.

Journal ArticleDOI
TL;DR: A metrological geometric verification of Kinect and Xtion sensors is performed using a standard artifact which consists of five delrin spheres and seven aluminum cubes to confirm that these sensors can be used in many engineering applications when the measurement range is short and accuracy requirements are not very strict.

Journal ArticleDOI
TL;DR: The experimental results indicate that this proposed approach is an effective method for gearbox fault diagnosis, which has more strong generalization ability and can achieve higher diagnostic accuracy than that of the artificial neural network and the SVM which has randomly extracted parameters.

Journal ArticleDOI
TL;DR: In this paper, a fault detection method for gearboxes using blind source separation (BSS) and nonlinear feature extraction techniques is presented, where the nonstationary vibration signals were analyzed to reveal the operation state of the gearbox.

Journal ArticleDOI
TL;DR: In this paper, an attempt has been made to use vibration signals for in-process prediction of surface roughness during turning of Ti-6Al-4V alloy, and an artificial neural network model was developed as it can be readily integrated into a computer integrated manufacturing environment.

Journal ArticleDOI
TL;DR: In this article, the newly fabricated metal matrix nano-composite (MMNC) of Al 7075 reinforced with 1.5% SiC nano-particles was prepared by a novel ultrasonic cavitation method.

Journal ArticleDOI
TL;DR: In this article, the authors focused on optimizing the cutting conditions for the average surface roughness (Ra) obtained in machining of high-alloy white cast iron (Ni-Hard) at two different hardness levels (50 and 62 HRC).

Journal ArticleDOI
TL;DR: In this paper, the authors used acoustic signals (sound) acquired from near field area of bearings in good and simulated faulty conditions for the purpose of fault diagnosis through machine learning approach.

Journal ArticleDOI
TL;DR: In this paper, the authors applied response surface methodology (RSM) and central composite design (CCD) for modeling, optimization, and an analysis of the influences of dominant machining parameters on thrust force, surface roughness and burr height in the drilling of hybrid metal matrix composites produced through stir casting route.

Journal ArticleDOI
TL;DR: In this paper, a technique based on decomposition using Symlet wavelet is proposed for measuring outer race defect width of taper roller bearing, which has been successfully implemented for measuring defect width over a range of 0.5776-1.9614mm.

Journal ArticleDOI
TL;DR: Fault discriminating capability of wavelets in its continuous form with the application of J48 algorithm is analyzed and results are validated to find classification capability of CWT features for monoblock centrifugal pump.

Journal ArticleDOI
TL;DR: Comparison results indicate that the proposed model combined with STKF/WNN algorithms can effectively provide high accurate corrections to the standalone INS during GPS outages.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the effect of work material hardness and cutting parameters during turning of hardened AISI 4340 steel at different levels of hardness and found that higher cutting forces are required for machining harder work material.

Journal ArticleDOI
TL;DR: In this paper, the influence of process parameters like cutting speed, feed and depth of cut on flank wear and surface roughness in turning Al/SiCp metal matrix composites using uncoated tungsten carbide insert under dry environment was presented.

Journal ArticleDOI
TL;DR: In this paper, a comparison between the surface roughness criteria (Ra, Rz and Rt) of the wiper inserts with conventional inserts during hard turning of AISI 4140 hardened steel (60 HRC).

Journal ArticleDOI
TL;DR: In this article, the authors proposed a new gear fault identification method based on HHT and SOM neural network, which can compensate for the disadvantage of HHT for adaptive analysis of non-linear and non-stationary signals.

Journal ArticleDOI
TL;DR: In this article, the effect of cutting parameters on work piece vibration, roughness on machined surface and volume of metal removed in boring of steel (AISI1040) was estimated.

Journal ArticleDOI
TL;DR: In this paper, a diaphragm-type fiber Bragg grating (FBG) pressure sensor with two bare FBGs directly bonded on the radial direction has been proposed.

Journal ArticleDOI
TL;DR: Improved ant colony optimization (IACO) algorithm is proposed to determine the parameters, and the IACO-SVM algorithm is applied on the rolling element bearing fault detection to show that the proposed algorithm can give higher recognition accuracy.

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a new fault diagnosis approach based on combined wavelet transform and adaptive neuro-fuzzy inference system for fault section identification, classification and location in a series compensated transmission line.