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To reduce the impact on characteristic of FOG (fiber optic gyro) SINS(strapdown inertial navigation system) from vibration, a new anti-vibration scheme based on improvement of mechanical structure, craft of optics and signal processing is proposed. Using finite element theory, the frameworkpsilas resonance frequency of FOG is studied and enhanced to adapt the surrounding; Vibration modulation mechanism...
Taking FOG SINS (fiber-optic gyroscope strapdown inertial system) as an object, a new fault diagnostic scheme based on RBF(radial basis function) neural network is proposed. Being capable of training and simulating data off-line, neural networks provide a solution to overcome some drawbacks of the quantitative fault diagnosis. The fault tree of FOG SINS is analyzed, which is the basis of the study...
Based on nonlinear mapping relationship between fault symptom and fault type in subsystems of FOG SINS (fiber-optic gyroscope strapdown inertial system), BP (back propagation) and Elman neural network approaches were presented for fault diagnosis. Fault mechanism and failure behavior of FOG SINS was analyzed, then featured fault types were extracted from FOG SINS faults and the extracted features...
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