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Feasibility of vibration-based damage detection for pinned turbine blades
Published 2019Subjects: “…Damage identification…”
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Ambient vibration testing of concrete dams
Published 2014“…In this thesis, seven techniques namely; rational fractional polynomial, complex exponential, frequency domain decomposition (FDD) based techniques which include; frequency domain decomposition (FDD), enhanced frequency domain decomposition (EFDD), curve fitting frequency domain decomposition (CFDD) and stochastic subspace identification (SSI) methods namely; unweighted principal component (UPC), principal component (PC) and canonical variant analysis (CVA)) have been applied to data from ambient vibration testing of two concrete dams namely; Roode Elsberg and Kouga dams.…”
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Exploring the spectroscopy of vibrational levels in the 160 mass region
Published 2016“…Vibrational levels are well known in atomic nuclei but despite many decades of research, some of their properties still remain elusive. …”
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Vibration problems of skips in mine shafts : the effect of compressive forces in the guides
Published 2016“…Investigations into problems involving the vibration of conveyances in deep mining shafts have led to the identification of 'slamming' as a significant event in the initiation of large perturbations in the motion of the skip. …”
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Structural performance evaluation of concrete arch dams using ambient vibration monitoring and GNNS systems
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System identification and modal tracking on ship structures
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The identification of structural modal parameters, as an alternative in-vivo diagnosis for osteoporosis
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Assessment of structural damage using operational time responses
Published 2013Subjects: “…Structural damage identification…”
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Identification of natural product stereochemistry via calculation of ECD spectra
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A Stochastic Hybrid Blade Tip Timing Approach for the Identification and Classification of Turbomachine Blade Damage
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Operational modal analysis on the SA Agulhas II
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The development of a non-intrusive motor efficiency estimation technique
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Road surface profile monitoring based on vehicle response and artificial neural network simulation
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Rotating machine diagnosis using smart feature selection under non-stationary operating conditions
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A hybrid gearbox condition monitoring methodology using transfer learning for calibration
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Condition monitoring and fault detection of inverter-fed rotating machinery
Published 2017“…Statistical indicators were used in the time domain, the Fourier Transform in the frequency domain, and Wavelet Transforms in the time-frequency domain. Vibration and current, which are two of the most popular parameters for fault detection, were considered. …”
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Structural Dynamic Response Reconstruction in the Time Domain
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