Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis

Rotating machines are often operated under various operating conditions. However, the characteristics of the data varies with their operating conditions. This article presents the time-series dataset, including vibration, acoustic, temperature, and driving current data of rotating machines under var...

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Main Authors: Wonho Jung, Seong-Hu Kim, Sung-Hyun Yun, Jaewoong Bae, Yong-Hwa Park
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923001671
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author Wonho Jung
Seong-Hu Kim
Sung-Hyun Yun
Jaewoong Bae
Yong-Hwa Park
author_facet Wonho Jung
Seong-Hu Kim
Sung-Hyun Yun
Jaewoong Bae
Yong-Hwa Park
author_sort Wonho Jung
collection DOAJ
description Rotating machines are often operated under various operating conditions. However, the characteristics of the data varies with their operating conditions. This article presents the time-series dataset, including vibration, acoustic, temperature, and driving current data of rotating machines under varying operating conditions. The dataset was acquired using four ceramic shear ICP based accelerometers, one microphone, two thermocouples, and three current transformer (CT) based on the international organization for standardization (ISO) standard. The conditions of the rotating machine consisted of normal, bearing faults (inner and outer races), shaft misalignment, and rotor unbalance with three different torque load conditions (0 Nm, 2 Nm, and 4 Nm). This article also reports the vibration and driving current dataset of a rolling element bearing under varying speed conditions (680 RPM to 2460 RPM). The established dataset can be used to verify newly developed state-of-the-art methods for fault diagnosis of rotating machines. Mendeley Data. DOI:10.17632/ztmf3m7h5x.6, DOI:10.17632/vxkj334rzv.7, DOI:10.17632/x3vhp8t6hg.7, DOI:10.17632/j8d8pfkvj2.7
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spelling doaj.art-1aaa0e2de73f4698aca5b5a4cedfbccb2023-06-22T05:03:23ZengElsevierData in Brief2352-34092023-06-0148109049Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosisWonho Jung0Seong-Hu Kim1Sung-Hyun Yun2Jaewoong Bae3Yong-Hwa Park4Department of Mechanical Engineering, Center for Noise and Vibration Control Plus, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Daejeon, Yuseong-gu 34141, South KoreaDepartment of Mechanical Engineering, Center for Noise and Vibration Control Plus, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Daejeon, Yuseong-gu 34141, South KoreaDepartment of Mechanical Engineering, Center for Noise and Vibration Control Plus, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Daejeon, Yuseong-gu 34141, South KoreaAutomotive R&D Division, Hyundai Motor Group, 150, HyundaiYeonguso-ro, Namyang-eup, Hwaseong-si, Gyeonggi-do 18280, South KoreaDepartment of Mechanical Engineering, Center for Noise and Vibration Control Plus, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Daejeon, Yuseong-gu 34141, South Korea; Corresponding author.Rotating machines are often operated under various operating conditions. However, the characteristics of the data varies with their operating conditions. This article presents the time-series dataset, including vibration, acoustic, temperature, and driving current data of rotating machines under varying operating conditions. The dataset was acquired using four ceramic shear ICP based accelerometers, one microphone, two thermocouples, and three current transformer (CT) based on the international organization for standardization (ISO) standard. The conditions of the rotating machine consisted of normal, bearing faults (inner and outer races), shaft misalignment, and rotor unbalance with three different torque load conditions (0 Nm, 2 Nm, and 4 Nm). This article also reports the vibration and driving current dataset of a rolling element bearing under varying speed conditions (680 RPM to 2460 RPM). The established dataset can be used to verify newly developed state-of-the-art methods for fault diagnosis of rotating machines. Mendeley Data. DOI:10.17632/ztmf3m7h5x.6, DOI:10.17632/vxkj334rzv.7, DOI:10.17632/x3vhp8t6hg.7, DOI:10.17632/j8d8pfkvj2.7http://www.sciencedirect.com/science/article/pii/S2352340923001671Ball BearingUnbalanceMisalignmentLoad FluctuationSpeed FluctuationCondition Monitoring
spellingShingle Wonho Jung
Seong-Hu Kim
Sung-Hyun Yun
Jaewoong Bae
Yong-Hwa Park
Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
Data in Brief
Ball Bearing
Unbalance
Misalignment
Load Fluctuation
Speed Fluctuation
Condition Monitoring
title Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
title_full Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
title_fullStr Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
title_full_unstemmed Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
title_short Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
title_sort vibration acoustic temperature and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
topic Ball Bearing
Unbalance
Misalignment
Load Fluctuation
Speed Fluctuation
Condition Monitoring
url http://www.sciencedirect.com/science/article/pii/S2352340923001671
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