  This paper discusses a method for accurately estimating the fault location in
multi-terminal High Voltage direct current (HVdc) transmission network using
single ended current and voltage measurements. The post-fault voltage and
current signatures are a function of multiple factors and thus accurately
locating faults on a multi-terminal network is challenging. We discuss a novel
data-driven Bayes Regression based method for accurately predicting fault
locations. The sensitivity of the proposed algorithm to measurement noise,
fault location, resistance and current limiting inductance are performed on a
radial three-terminal MTdc network. The test system is designed in Power System
Computer Aided Design (PSCAD)/Electromagnetic Transients including dc (EMTdc).
