Convolutional neural network based fault detection for rotating machinery

O Janssens, V Slavkovikj, B Vervisch… - Journal of Sound and …, 2016 - Elsevier
Vibration analysis is a well-established technique for condition monitoring of rotating
machines as the vibration patterns differ depending on the fault or machine condition …

Thermal image based fault diagnosis for rotating machinery

O Janssens, R Schulz, V Slavkovikj, K Stockman… - Infrared Physics & …, 2015 - Elsevier
Infrared imaging is crucial for condition monitoring as the thermographic patterns will differ
depending on the fault or machine condition. Currently, a limited number of machine faults …

Comparison of the effectiveness of selected vibration signal analysis methods in the rotor unbalance detection of PMSM drive system

P Ewert, CT Kowalski, M Jaworski - Electronics, 2022 - mdpi.com
Mechanical unbalance is a phenomenon that concerns rotating elements, including rotors in
electrical machines. An unbalanced rotor generates vibration, which is transferred to the …

Dynamic analysis of coupling misalignment and unbalance coupled faults

H Wang, J Gong - … of Low Frequency Noise, Vibration and …, 2019 - journals.sagepub.com
Misalignment is a common fault occurring in the rotor system. However, the response
characteristics have not been understood comprehensively, especially the relation between …

Development and analyses of a lever system for a newly designed self-equalising thrust bearing

K Monkova, M Urban, S Moravka, PP Monka… - Engineering Failure …, 2022 - Elsevier
Thrust bearings are undoubtedly one of the essential parts of turbines and compressors.
However, there are many cases in which asymmetric load occurs on the bearings due to eg …

Modeling, analysis, and identification of parallel and angular misalignments in a coupled rotor-bearing-active magnetic bearing system

S Srinivas R, R Tiwari, CK Babu - Journal of …, 2021 - asmedigitalcollection.asme.org
The standard techniques used to detect misalignment in rotor systems are loopy orbits,
multiple harmonics with predominant 2X component, and high axial vibration. This paper …

Dynamic response characteristics of multiplicative faults in a misaligned-bowed rotor-train system integrated with active magnetic bearings

AK Gautam, R Tiwari - International Journal of Dynamics and Control, 2024 - Springer
The present study deals with the modeling and response analysis of two coupled rotor
systems that are subjected to the coupling angular misalignment accompanied by the shaft …

Fault Diagnosis of Rotary Machines Using Machine Learning

IM Brandao, C da Costa - Eletrônica de Potência, 2022 - journal.sobraep.org.br
Classification of faults in rotary machines using machine learning is gaining attention in the
field of science and engineering. In rotating machinery, misalignment is a common fault. This …

Detection of coupling misalignment by extended orbits

M Monte, F Verbelen, B Vervisch - … , Volume 8: Proceedings of the 33rd …, 2015 - Springer
In this paper a 'SpectraQuest'demonstrator is used to introduce misalignment into a rotating
machinery set-up. Depending on the coupling used in the set-up, angular and/or parallel …

Experimental research on machinery fault simulator (MFS): A review

AM Mustafa, JF Nayfeh - 2020 Prognostics and Health …, 2020 - ieeexplore.ieee.org
In this paper, we have reported published articles that used the machinery fault simulator
(MFS) and MFS-Magnum machines developed by SpectraQuest as a tool to investigate the …