Effective fiber testing utilizes advanced tools such as Optical Loss Test Sets (OLTS), Optical Time-Domain Reflectometers (OTDR), and Visual Fault Locators (VFL) to diagnose and correct issues, ensuring optimal network performance. These test procedures assess the physical and functional qualities of fiber optic cables, connectors, and the network as a whole. Finally, this investigation is finalized with strong recommendation and suggestions. It emphasizes the need for the fault detection and fault classification. To leverage the advantages of the state of polarization (SOP) in detecting various abnormal events while addressing its challenges in acquiring the SOP of different fiber links, we propose a multi-channel joint SOP estimation scheme to estimate the SOP of different fiber spans. As an important product of the development of network data, big data began to connect with the balanced.
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