Walsh Matrix Analysis and Feed Forward Neural NEtowrk based Fault Detection Technqiue 候选 · 未审核

doi:10.21227/7c6h-5m58

"Raw electrical current fault data, which can be useful to develop fault detection techniques based on artificial intelligence, machine learning and deep learning. The data consist of simulation and experimental studies considered. Different operating scenarios are simulated based on the different normal, abnormal and faulty operations. The raw data can be useful for the training of the artificial intelligence, machine learning and deep learning based techniques. Further, as part of data-driven approaches, it can be useful for the model-based and waveshape-based approaches as well."

落地页

https://ieee-dataport.org/documents/walsh-matrix-analysis-and-feed-forward-neural-netowrk-based-fault-detection-technqiue

许可证

CC-BY-4.0 (判读置信:inferred)

国内可访问性

国内直连:可达 (2026-07-11 检测) 代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。

PHM 任务

fault_detection