2019
DOI: 10.1007/s10338-019-00090-x
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Wave Propagation in Submerged Pipe Conveying Fluid

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Cited by 13 publications
(6 citation statements)
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“…Due of its benefits, it has garnered considerable interest. Reference [1] divides the photovoltaic array area into blocks and removes abnormal block data, extracts and normalizes the temperature features of infrared image blocks, and then uses SVM to build a classification model to detect hot spots and classify their severity; Literature [3] extracts features and encodes the state of the infrared images of cells, and proposes a hot spot detection method based on convolutional neural network to predict the occurrence of hot spots; Reference [4] Literature [4] uses infrared pictures of solar arrays as the study object, adopts the methodologies of information fusion and fuzzy reasoning, and thoroughly evaluates the impact of external conditions in order to determine the operational status of the cell. Based on previous research, this work uses the infrared picture of photovoltaic modules as the research object and applies the deep learning technique to automatically identify hot regions.…”
Section: Introductionmentioning
confidence: 99%
“…Due of its benefits, it has garnered considerable interest. Reference [1] divides the photovoltaic array area into blocks and removes abnormal block data, extracts and normalizes the temperature features of infrared image blocks, and then uses SVM to build a classification model to detect hot spots and classify their severity; Literature [3] extracts features and encodes the state of the infrared images of cells, and proposes a hot spot detection method based on convolutional neural network to predict the occurrence of hot spots; Reference [4] Literature [4] uses infrared pictures of solar arrays as the study object, adopts the methodologies of information fusion and fuzzy reasoning, and thoroughly evaluates the impact of external conditions in order to determine the operational status of the cell. Based on previous research, this work uses the infrared picture of photovoltaic modules as the research object and applies the deep learning technique to automatically identify hot regions.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, several theoretical models and numerical investigations on a straight or curved pipe conveying a single-or two-phase flow have been published in the literature, including the effect of external flow vortex-induced vibration [11][12][13], the functionally graded and viscoelastic materials [14,15], the internal pulsation flow excitation [16], the wave propagation features [17], the vibration suppression using the piezoelectric device [18], the pipe-in-pipe system in a thermal environment [19], and the cold water pipe for the ocean thermal energy conversion application [20]. Experimental studies on SIV of straight pipes transporting air-water flows have been performed by a few researchers.…”
Section: Introductionmentioning
confidence: 99%
“…The dynamics of fluid-conveying pipes, in both macroscale and nanoscale, have been extensively investigated by many researchers in the past decades. Due to the wide range of engineering background, dynamic problems such as wave propagation [1] and vibration behavior [2] of pipes conveying fluid have been investigated in recent years. Nanotubes have grabbed growing attention since being discovered, due to their great potentials in nano-electromechanical systems [3], hydrogen storage [4] and drug delivery [5].…”
Section: Introductionmentioning
confidence: 99%