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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

TL;DR: In this article, fiber Bragg grating (FBG) sensors are integrated in lithium batteries to measure temperature variations, and in situ calibration of the FBG sensors against a co-located thermocouple shows a linear response.

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.

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.

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.

TL;DR: The application of the proposed method for early detection of ischemic stroke is demonstrated to improve efficiency and accuracy of clinical practice and the results are quantitatively evaluated by a human expert.

TL;DR: In this paper, a stylus type profilometer and 3D image analyzer were employed to determine surface roughness of the samples of composite panels including particleboard, medium density fibreboard (MDF), plywood in addition to ten different solid wood species which are commonly used in furniture production.

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.

TL;DR: In this paper, the authors presented the mathematical modelling and parametric optimization on flank wear and surface roughness based on response surface methodology and grey-based Taguchi method in finish hard turning of AISI 4340 steel (HRC 47-±-1) using multilayer coated carbide (TiN/TiCN/Al 2 O 3 /TiN) insert under dry environment.

TL;DR: Novel methods used for human identification in biometrics are used in the present work for characterization of machined surfaces and the Euclidean and Hamming distances of the surface images are used for surface recognition.

TL;DR: In this paper, a novel methodology based on the application of terrestrial laser scanning and photogrammetry techniques as auxiliary metric tools for bridge inspections procedures was proposed, and validated throughout a case study where the minimum underclearance and the overall geometry of a prestressed concrete beam are obtained.

TL;DR: In this paper, the authors investigated the effect of voltage sag on the power quality of light-emitting diode (LED) lamps and found that different types of LED lamps produce different levels of current harmonics depending on the ballast configuration.

TL;DR: In this article, a new fault diagnosis method based on multiple features, kernel principal component analysis (KPCA) and particle swarm optimization-support vector machine (PSO-SVM), is put forward.

TL;DR: The experimental results show, that the algorithm achieves high image quality and high tampering detection resolution at a low watermark payload, compared to block-based authentication schemes.