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The FDS uses fault detector units (FDU), associated with each thruster, to monitor their healthy state.
The FDS uses fault detector units (FDUs), associated with each thruster, to monitor their state.
Jhawar and Piuri [74] uses Fault Trees and Markov models to evaluate the reliability and availability of a cloud system under different deployment contexts.
The first part uses fault tree method to analyze factors that affect the success of EER qualitatively, and these influencing factors are treated as nodes of Bayesian network (BN) in the next phase.
The proposed Fault Detection and Accommodation System (FDAS) consists of two subsystems: Fault Detection Subsystem (FDS) and Fault Accommodation Subsystem (FAS), The FDS uses fault detector units (FDU), associated with each thruster, to monitor their healthy state.
The proposed method uses fault tree analysis and the theory of minimal cut sets to break down the reliability analysis of the complete SIPS into the analysis of the individual operational phases of SIPS, which simplifies the analysis.
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This uses faults, horizons, and zones from 3D seismic and well logs to generate framework scenarios based on structural uncertainty.
Although the input signals and discrimination methods of these protection algorithms are different, all algorithms essentially use fault initiated travelling waves to discriminate the faulted line.
Reliability of the DCS is assessed using fault trees.
The most commonly used fault location techniques are impedance-based fault location methods.
The paleotectonic stress tensor is determined using fault activity analysis, acoustic emission tests, and burial history.
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