| 摘要 |
A telecommunications fault location and diagnostic system employs a remote test unit (RTU) to collect system parameter data. The RTU is operatively coupled to a trained neural network, which receives the system parameter data from the RTU. The neural network is trained using pre-screened historical fault data, which is stored in a database. Once trained, the neural network classifies the RTU data into one of a predetermined number of fault probabilities.
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