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A series of experimental studies are conducted to investigate the thermal performance of a pulsating heat pipe (PHP) under anti-gravity operation. The working fluid in the PHP is methanol and the Bond number of these experiments ranges from 0.833 to 1.068. Via the comparison between the performance of the anti-gravity PHP and a gravity-assisted one under different working conditions, the effects of...
Some statistical and machine learning methods have been proposed to build hard drive prediction models based on the SMART attributes, and have achieved good prediction performance. However, these models were not evaluated in the way as they are used in real-world data centers. Moreover, the hard drives deteriorate gradually, but these models can not describe this gradual change precisely. This paper...
Most of the modern hard disk drives support Self-Monitoring, Analysis and Reporting Technology (SMART), which can monitor internal attributes of individual drives and predict impending drive failures by a thresholding method. As the prediction performance of the thresholding algorithm is disappointing, some researchers explored various statistical and machine learning methods for predicting drive...
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