Riaz Muhammad Noman, Hamza Amir, Jabbar Hamid, Abbas Manzar, Tiwana Mohsin Islam
Department of Mechatronics Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad, Pakistan.
Department of Avionics Engineering, Air University, Aerospace and Aviation Campus Kamra, Islamabad, Pakistan.
Data Brief. 2024 Dec 7;58:111214. doi: 10.1016/j.dib.2024.111214. eCollection 2025 Feb.
The dataset includes vibration signatures from both healthy and faulty main journal bearings of an internal combustion engine, captured with a tri-axial accelerometer mounted on the bearings' housing. The engine was exposed to various climatic and operating conditions, including variations in temperature and humidity, and tested at different engine rotation speeds, following a standard, MIL-STD-810G. The data was collected in a state-of-the-art climatic and vibration chamber to simulate real-world environmental conditions. The dataset comprises more than 500 files, each recorded under a range of climatic and operational conditions, with root mean square (RMS) values included. This dataset provides a valuable and reliable benchmark for researchers and practitioners to validate their diagnostic algorithms and models against real engine conditions, as no such dataset is publicly available.
该数据集包含来自内燃机健康和故障主 journal 轴承的振动信号，这些信号由安装在轴承外壳上的三轴加速度计采集。发动机暴露于各种气候和运行条件下，包括温度和湿度的变化，并按照标准 MIL-STD-810G 在不同发动机转速下进行测试。数据是在一个先进的气候和振动试验箱中收集的，以模拟实际环境条件。该数据集包含500多个文件，每个文件都记录在一系列气候和运行条件下，并包含均方根（RMS）值。由于没有公开可用的此类数据集，该数据集为研究人员和从业人员提供了一个有价值且可靠的基准，可用于根据实际发动机条件验证其诊断算法和模型。
