Work

Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditions

Year: 2024

Type: data-paper

Abstract: 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.

Source: Data in Brief

DOI: 10.1016/j.dib.2024.111214

Authors: Muhammad Noman Riaz, Amir Hamza, Hamid Jabbar, Manzar Abbas, Mohsin Islam Tiwana

Institutions: National University of Sciences and Technology, Air University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $850

Funder: National University of Sciences and Technology

OpenAlex ID: W4405131180

Cites: 17

Cited by: 6

Related to: 10