Fault Detection Method of Remote Transmission of Optical Fiber Communi-cation Based on Data Mining Technology
In order to improve the accuracy of fault detection in the long-distance transmission process of optical fiber communication and strengthen the management and maintenance of opti-cal fiber communication system,the paper proposes a fault detection method for long-distance transmission of optical fiber communication based on data mining technology.Firstly,the ob-jective function is established for the subsequent assessment of the impact on the whole optical fiber communication network;Secondly,the data mining technology is used to correct the defec-tive data and obtain the characteristic information related to faults;then build the feature vector set,and optimize the objective function by determining the modal parameter K to ensure the ac-curacy and integrity of the fault detection.The experimental results show that the average accu-racy of fault detection is 99.59％in the method,which has high accuracy,and shows that the method can detect faults accurately.
data miningoptical fiber communicationfault detectionlong-distance transmission
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