Fault Diagnosis Using Feature Vectors and Fuzzy Fault Pattern Rulebase
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چکیده
Feature Vectors. The required inputs for the diagnostic models are termed the feature vectors. The feature vectors contain information about the current fault status of the system. Feature vectors may contain many sorts of information about the system. This includes both system parameters relating to fault conditions (bulk modulus, leakage coefficient, temperatures, pressures) as well as vibration and other signal analysis data (FFT, energy, kurtosis). Feature vector components are selected using physical models and legacy data such as that available in the USN SH-60 HIDS study. Physical models show that components such as bulk modulus and leakage coefficient should be included, and HIDS shows the importance of vibration signature energy, kurtosis, etc. Different feature vectors will be needed to diagnose different subsystems.
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