FE-DGCAN DataSet 候选 · 未审核

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"This dataset is designed for the task of mechanical anomaly sound detection. It consists of audio recordings in .wav format, each with a duration of 10 seconds. The dataset is divided into two subsets: The recordings include various types of mechanical operation sounds, encompassing both normal and abnormal conditions. This dataset provides a reliable benchmark for developing and assessing machine learning models aimed at detecting and classifying anomalous mechanical sounds, thereby contributing to the advancement of intelligent fault diagnosis and predictive maintenance systems."

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落地页

https://ieee-dataport.org/documents/fe-dgcan-dataset

许可证

CC-BY-4.0 (置信:inferred)

国内可访问性

国内直连:可达 (2026-07-11 检测) 非直连:可达 (2026-07-11 检测)
「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。

发布年份

2025

发布方

IEEE DataPort

PHM 任务

anomaly_detection fault_diagnosis

故障工况