Digital Twin for rotating machinery fault diagnosis in smart manufacturing

J Wang, L Ye, RX Gao, C Li, L Zhang - International Journal of …, 2019 - Taylor & Francis
… rotor system with the collected data, identify the fault parameters of the rotor system, and
realise … , which can help implement accurate diagnosis and maintenance of rotating machinery. …

Improved similarity-based modeling for the classification of rotating-machine failures

MA Marins, FML Ribeiro, SL Netto… - Journal of the Franklin …, 2018 - Elsevier
… This paper addressed the automatic fault diagnosis in rotating machines. The use of similarity
based modeling (SBM) was investigated, either as a stand-alone classification method or …

Modal parameter identification of rotating machinery based on time domain synchronous averaging

Z Zhang, T Wang, C Deng, Y Zhao… - Journal of Physics …, 2021 - iopscience.iop.org
… It is the application of parameter identification in the … rotating machinery structure is running
at high speed, it will produce a lot of harmonic interference, which will affect the identification

[PDF][PDF] Fault diagnosis of rotating machinery

S Edwards, AW Lees, MI Friswell - Shock and vibration digest, 1998 - michael.friswell.com
This paper aims to provide a broad review of the state of the art in fault diagnosis techniques,
with particular regard to rotating machinery. Fault diagnosis is a subject too wide ranging to …

Parametric Identification of Rotating Cavitation in a Three-Bladed Axial Inducer

A Costanzo, D Valentini, G Pace… - Fluids …, 2021 - asmedigitalcollection.asme.org
… the spectrum of dual-lobed rotating cavitation at frequency ωRC . This … identifying multi-lobed
rotating instabilities from just one single pressure measurement on the stator of the machine

Fault detection of rotating machinery using model-based techniques

MF Abdel-Magied, KA Loparo… - Proceedings of the …, 1997 - ieeexplore.ieee.org
… of rotating machinery. The basic idea is that each fault to be identified in the rotating
machinery is associated with a certain set of parameters in the model [l], [3]. Different sets of …

Detection of faults in rotating machinery using periodic time-frequency sparsity

Y Ding, W He, B Chen, Y Zi, IW Selesnick - Journal of Sound and Vibration, 2016 - Elsevier
This paper addresses the problem of extracting periodic oscillatory features in vibration signals
for detecting faults in rotating machinery. To extract the feature, we propose an approach …

Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis

K Zhao, H Jiang, X Li, R Wang - International Journal of Machine Learning …, 2021 - Springer
… In this paper, an adaptive ensemble model is constructed for practical rotating machinery
fault diagnosis. The detailed illustration of the constructed model is presented in this part. …

Identification techniques in rotordynamics

R Nordmann - Diagnostics of Rotating Machines in Power Plants …, 1994 - Springer
… This contribution describes the basic relations of Identification Techniques in rotordynamics,
… and parameter estimation procedures. Some applications of parameter identification are …

Excitation force identification of rotating machines using operational rotor/stator amplitude data and analytical synthesized transfer functions

J Verhoeven - 1988 - asmedigitalcollection.asme.org
… Hydraulic excitation forces of rotating machinery are normally determined by direct measurement
techniques like strain gages, load cells, etc. This paper presents an indirect method, in …