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Showing papers in "Measurement in 2014"


Journal ArticleDOI
TL;DR: This paper aims to review and summarize publications on condition monitoring and fault diagnosis of planetary gearboxes and provide comprehensive references for researchers interested in this topic.

551 citations


Journal ArticleDOI
TL;DR: A critical review of all the established and emerging soil moisture measurement techniques with respect to their merits and demerits is presented in this article, where the authors highlight the importance of various innovations based on Micro Electro Mechanical Systems (MEMS) and nano-sensors emerging in this context.

358 citations


Journal ArticleDOI
Turgay Kıvak1
TL;DR: In this article, the Taguchi method and regression analysis have been applied to evaluate the machinability of Hadfield steel with PVD TiAlN- and CVD TiCN/Al 2 O 3 -coated carbide inserts under dry milling conditions.

308 citations


Journal ArticleDOI
TL;DR: Results indicate that implementation of GA-based ANN models as a highly-reliable, efficient and practical tool in predicting the pile bearing capacity is of advantage.

270 citations


Journal ArticleDOI
TL;DR: In this article, the first steps involved in choosing and defining various techniques that may be used to monitor machining processes are discussed, and the techniques to acquire and process the signals of the monitoring processes are outlined.

205 citations


Journal ArticleDOI
TL;DR: In this paper, the dry turning parameters of two different grades of nitrogen alloyed duplex stainless steel are optimized by using Taguchi method and the results revealed that the feed rate is the more significant parameter influencing the surface roughness and cutting force.

189 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed an artificial neural network (ANN) based fault estimation algorithm was verified with experimental tests and promising results, every test was initiated with a reference ANN architecture to avoid inappropriate classification during the evaluation of fitness value.

157 citations


Journal ArticleDOI
TL;DR: In this paper, the effect of feature extraction and classification that caused by the kernel function and the different options of its parameters is discussed, and the effects of reducing dimension analysis and kernel principal component analysis are compared.

154 citations


Journal ArticleDOI
TL;DR: In this paper, a functional body-to-sensor calibration procedure for inertial sensor-based gait analysis is described, which consists in measuring the vertical axis during two static positions, and is not affected by magnetic field distortion.

144 citations


Journal ArticleDOI
TL;DR: The experimental results indicate that HE can depict the characteristics of the bearing vibration signal more accurately and more completely than MSE, and the proposed approach based on HE can identify various bearing conditions effectively and accurately and is superior to that based on MSE.

143 citations


Journal ArticleDOI
TL;DR: A new and completely automatic counting, segmentation and classification process is developed that automatically counts the white blood cells, determine their sizes accurately and classifies them into five types such as basophil, lymphocyte, neutrophil, monocyte and eosinophil.

Journal ArticleDOI
TL;DR: The results reveal that the performance of real coded genetic algorithm with SBX crossover based optimal multilevel thresholding for medical image is better and has consistent performance than already reported methods.

Journal ArticleDOI
TL;DR: A small leak feature extraction and recognition method based on local mean decomposition (LMD) envelope spectrum entropy and support vector machine (SVM) that can effectively identify different leak categories.

Journal ArticleDOI
TL;DR: A proposed ANN architecture is used to predict the oil, water and air percentage, precisely, based on nuclear technique in annular multiphase regime using only one detector and a dual energy gamma-ray source.

Journal ArticleDOI
TL;DR: In this article, a multilayer perceptron model was used with back-propagation algorithm using the input parameters of nose radius, cutting speed, feed and volume of material removed.

Journal ArticleDOI
TL;DR: In this paper, a car-following model with consideration of the reliability of inter-vehicle communication (IVC) was proposed to study each vehicle's speed, headway, fuel consumption and exhaust emissions under an incident.

Journal ArticleDOI
TL;DR: In this article, through holes were machined in a Ti-6Al-4V plate of 0.4mm thickness using twisted carbide drill bits of diameter by conventional dry drilling, and performance characteristics of the small hole drilling were evaluated through thrust force, overcut, circularity and taper.

Journal ArticleDOI
TL;DR: A novel algorithm based on neutrosophic similarity score to perform thresholding on image is proposed and it can process both images without noise and noisy images having different levels of noises well.

Journal ArticleDOI
TL;DR: In this article, a particle swarm optimization-artificial neural network (PSO-ANN) integrated model was developed by setting the results of rock index tests as inputs and shear strength parameters as outputs of the model.

Journal ArticleDOI
TL;DR: The DIC technique could provide very accurate and detailed information, including the in-plane and out-of-plane strains and their spatial variations, and the locations of high tensile and compressive strains which at later stages of loading result in cracking or crushing of concrete.

Journal ArticleDOI
TL;DR: In this article, cooperative and non-cooperative game theories are proposed to assess the relative performance of the operational units in a real case on 39 Spanish Airports in 2008, which has been illustrated to verify the applicability of the proposed approaches.

Journal ArticleDOI
TL;DR: The experimental results indicate that this proposed approach is an effective method for roller bearing fault diagnosis, which has more strong generalization ability and can achieve higher diagnostic accuracy than that of the single kernel SVM or the MSVM which parameters are randomly extracted.

Journal ArticleDOI
TL;DR: The imperialist competitive algorithm (ICA) is modified with a density-based algorithm and fuzzy logic for optimum clustering in WSNs and achieves higher detection accuracy 87% and clustering quality 0.99 compared to existing approaches.

Journal ArticleDOI
TL;DR: In this article, experimental investigations carried out to assess the applicability of HiPIMS (High Power Impulse Magnetron Sputtering)-coated carbide tools to hard turning (55 HRC) and to address the widely debated topic about the use of coolants in hard turning are presented.

Journal ArticleDOI
TL;DR: In this paper, a data mining approach using a machine learning technique called anomaly detection (AD) is presented, which employs classification techniques to discriminate between defect examples and two features, kurtosis and non-Gaussianity score (NGS), are extracted to develop anomaly detection algorithms.

Journal ArticleDOI
TL;DR: In this paper, an attempt has been made to optimize the process parameters during burnishing of titanium alloy (Ti-6Al-4V) in order to minimize the surface roughness and maximize the hardness.

Journal ArticleDOI
TL;DR: In this article, a car-following model was proposed to investigate the effects of real-time road condition on each vehicle's speed, acceleration, headway, fuel consumption, CO, HC and NOX under uniform flow.

Journal ArticleDOI
TL;DR: This study proposes a three-stage DEA model with two independent parallel stages linking to a third final stage and calculates the efficiency of this model by considering a series of intermediate measures and constraints.

Journal ArticleDOI
TL;DR: In this article, three apple diseases appearing on leaves, namely Alternaria, apple black spot, and apple leaf miner pest were selected for detection via image processing technique, and three soft-computing approaches for disease classification, of artificial neural networks (ANNs), and support vector machines (SVMs).

Journal ArticleDOI
TL;DR: In this article, the effect of machining parameters cutting speed, feed rate and depth of cut, geometrical parameters cutting insert shape, relief angle and nose radius were investigated and optimized using Taguchi based grey relational analysis.