基于数字残差谱的光网络泛化的软故障检测与识别

该数据集为实验测试数据，测试方案为行业认可及领域专家论证方案。原始数据集由相干接收机（Fujitsu富士通，型号：FTM24706/301）、数字信号示波器（Tektronix泰克，型号：MSO72004C）等行业标准测试仪器仪表测试得到。利用Matlab、PYTHON,采用对应的通信算法加工处理以及图表绘制。支撑论文“Digital Residual Spectrum-Based Generalized Soft Failure Detection and Identification in Optical Networks”

This dataset consists of experimental test data, and its test protocol has been industry-recognized and validated by domain experts. The raw dataset was acquired using industry-standard test instruments, including a coherent receiver (Fujitsu, model FTM24706/301) and a digital signal oscilloscope (Tektronix, model MSO72004C). The collected data was processed and visualized with corresponding communication algorithms via Matlab and Python. This dataset supports the paper titled "Digital Residual Spectrum-Based Generalized Soft Failure Detection and Identification in Optical Networks".

搜集汇总

背景与挑战

背景概述

该数据集是用于光网络软故障检测与识别的实验测试数据，由行业标准仪器采集并通过Matlab和Python处理，包含39.85MB的1641个文件，支撑相关学术论文。数据集聚焦于通信技术领域，基于数字残差谱和机器学习方法，旨在实现泛化的故障检测与识别，属于国家重点研发计划项目'新型光纤传输系统架构与关键技术研究'的成果。