Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data
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 t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924011764 |
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| author | Muhammad Noman Riaz Amir Hamza Hamid Jabbar Manzar Abbas Mohsin Islam Tiwana |
| author_facet | Muhammad Noman Riaz Amir Hamza Hamid Jabbar Manzar Abbas Mohsin Islam Tiwana |
| author_sort | Muhammad Noman Riaz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8936c41481134998b229dfb43111c579 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-8936c41481134998b229dfb43111c5792025-01-31T05:11:31ZengElsevierData in Brief2352-34092025-02-0158111214Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley DataMuhammad Noman Riaz0Amir Hamza1Hamid Jabbar2Manzar Abbas3Mohsin Islam Tiwana4Department of Mechatronics Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad, Pakistan; Corresponding author.Department of Mechatronics Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad, PakistanDepartment of Mechatronics Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad, PakistanDepartment of Avionics Engineering, Air University, Aerospace and Aviation Campus Kamra, Islamabad, PakistanDepartment of Mechatronics Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad, PakistanThe 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.http://www.sciencedirect.com/science/article/pii/S2352340924011764Internal combustion engineMain journal bearingsVibration signaturesEnvironmental condition |
| spellingShingle | Muhammad Noman Riaz Amir Hamza Hamid Jabbar Manzar Abbas Mohsin Islam Tiwana Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data Data in Brief Internal combustion engine Main journal bearings Vibration signatures Environmental condition |
| title | Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data |
| title_full | Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data |
| title_fullStr | Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data |
| title_full_unstemmed | Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data |
| title_short | Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data |
| title_sort | vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsmendeley data |
| topic | Internal combustion engine Main journal bearings Vibration signatures Environmental condition |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924011764 |
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