Early Fault Detection in Particle Accelerator Power Electronics Using Ensemble Learning von Radaideh, Majdi I., Pappas, Chris, Wezensky, Mark, Ramuhalli, Pradeep, Cousineau, Sarah

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Operational data for fault prognosis in particle accelerators with machine learning von Radaideh, Majdi I., Pappas, Chris, Wezensky, Mark, Cousineau, Sarah

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Operational Data for Fault Prognosis in Particle Accelerators with Machine Learning von Radaideh, Majdi

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Operational Data for Fault Prognosis in Particle Accelerators with Machine Learning von Radaideh, Majdi

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Operational Data for Fault Prognosis in Particle Accelerators with Machine Learning von Radaideh, Majdi

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Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning von Radaideh, Majdi I, Pappas, Chris, Wezensky, Mark, Ramuhalli, Pradeep, Cousineau, Sarah

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Operational Data for Fault Prognosis in Particle Accelerators with Machine Learning von Majdi Radaideh

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Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning von Radaideh, Majdi I, Pappas, Chris, Wezensky, Mark, Ramuhalli, Pradeep, Cousineau, Sarah

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Operational results of pulse shaping techniques for the High Voltage Convertor Modulator von Patel, G. P., Anderson, D. E., Solley, D. J., Wezensky, M. W.

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HVCM topology enhancements to support a power upgrade required by a second target station (STS) at SNS von Solley, D. J., Anderson, D. E., Patel, G. P., Peplov, V. V., Saethre, R., Wezensky, M. W.

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IGBT gate driver upgrades to the HVCM at the SNS von Solley, D. J., Anderson, D. E., Patel, G. P., Peplov, V. V., Saethre, R., Wezensky, M. W.

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Naval sonar, marine mammal strandings, and the bubble hypothesis von Muller, Mark W., Au, Whitlow W. L., Allen, John S., Wezensky, Eryn M., Barkley, Michael R.

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