MIMII数据集：用于故障工业机器调查和检测的声音数据集
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
摘要：
工厂机械容易出现故障或故障，导致公司的重大支出。因此，人们对使用包括麦克风在内的不同传感器进行机器监控的兴趣越来越大。在科学界，公共数据集的出现推动了声学检测以及场景和事件分类的进步，但目前还没有关注真实工厂环境中正常和异常运行条件下工业机器声音的公共数据集。在本文中，我们提出了一个新的数据集的工业机器的声音，我们称之为故障工业机器的调查和检查（MIMII数据集）的声音数据集。为不同类型的工业机器（即，阀、泵、风扇和滑轨），并且为了模拟真实生活场景，记录了各种异常声音（例如，污染、泄漏、旋转不平衡和轨道损坏）。发布MIMII数据集的目的是帮助机器学习和信号处理社区开发自动化设施维护。MIMII数据集可在以下网址免费下载：https://zenodo.org/record/3384388
英文摘要：
Factory machinery is prone to failure or breakdown, resulting in significant expenses for companies. Hence, there is a rising interest in machine monitoring using different sensors including microphones. In the scientific community, the emergence of public datasets has led to advancements in acoustic detection and classification of scenes and events, but there are no public datasets that focus on the sound of industrial machines under normal and anomalous operating conditions in real factory environments. In this paper, we present a new dataset of industrial machine sounds that we call a sound dataset for malfunctioning industrial machine investigation and inspection (MIMII dataset). Normal sounds were recorded for different types of industrial machines (i.e., valves, pumps, fans, and slide rails), and to resemble a real-life scenario, various anomalous sounds were recorded (e.g., contamination, leakage, rotating unbalance, and rail damage). The purpose of releasing the MIMII dataset is to assist the machine-learning and signal-processing community with their development of automated facility maintenance. The MIMII dataset is freely available for download at: https://zenodo.org/record/3384388
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
