The management and control of shipboard Medium Voltage AC (MVAC) and Medium Voltage DC (MVDC) power system architectures under fault conditions present a number of challenges. The use and resulting interaction of multiple power electronic components in mesh-like power distribution architectures possibly result in the effects of faults being detectable throughout the system, for example, line-to-hull faults on DC systems with high resistive grounding.
Machine learning techniques for diagnosing and locating faults through the automated monitoring of power electronic components in shipboard power systems
2009-04-01
320106 byte
Conference paper
Electronic Resource
English
Automotive engineering | 1991
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