A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery [PDF]
Sensors, 2022 Rotating machinery plays an important role in industrial systems, and faults in the machinery may damage the system health. A novel image-based diagnosis method using improved deep convolutional generative adversarial networks (DCGAN) is proposed for the
Yangde Gao, Farzin Piltan, Jong-Myon Kim
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A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography [PDF]
Micromachines, 2022 At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate ...
Rongcai Wang +5 more
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Fault Diagnosis of Rotating Machinery Using Kernel Neighborhood Preserving Embedding and a Modified Sparse Bayesian Classification Model [PDF]
Entropy, 2023 Fault diagnosis of rotating machinery plays an important role in modern industrial machines. In this paper, a modified sparse Bayesian classification model (i.e., Standard_SBC) is utilized to construct the fault diagnosis system of rotating machinery ...
Lixin Lu +4 more
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Machine learning for fault analysis in rotating machinery: A comprehensive review [PDF]
Heliyon, 2023 As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is attracted the corresponding community to develop effective intelligent fault diagnosis and prognosis (IFDP) models for rotating machinery.
Oguzhan Das +2 more
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The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder [PDF]
SensorsThe prediction of the remaining useful life (RUL) is important for the conditions of rotating machinery to maintain reliability and decrease losses. This study proposes an efficient approach based on an adaptive maximum second-order cyclostationarity ...
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
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Intelligent Fault Diagnosis Method for Rotating Machinery Based on Recurrence Binary Plot and DSD-CNN [PDF]
EntropyTo tackle the issue of the traditional intelligent diagnostic algorithm’s insufficient utilization of correlation characteristics within the time series of fault signals and to meet the challenges of accuracy and computational complexity in rotating ...
Yuxin Shi +3 more
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Dynamics of rotating machinery [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Horst Ecker +3 more
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Vibration Monitoring for Rotating Machinery
Measurement + Control, 1980 This article has been produced as a guide for instrument personnel involved in specifying and/or maintaining vibration monitoring equipment. The information has been gathered by the author from many sources during his initiation into the subject.
I. R. Hitchen BA(Open)
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Linear and Nonlinear Performance Analysis of Hydrodynamic Journal Bearings with Different Geometries
Applied Sciences, 2022 In rotor dynamics, a traditional way of representing the dynamics of hydrodynamic bearings is using stiffness/damping coefficients. It is thus necessary to carry out a linearization of hydrodynamic forces around the shaft’s equilibrium position. However,
Carlos Alberto Alves Viana +2 more
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Aerospace, 2023 Underplatform dampers (UPDs), a type of dry friction damper, are commonly used for vibration reduction of turbine blades. This study investigated the effect of UPDs on the forced torsional vibration response of turbine blades within a multi-blade system.
Yanan Wu +5 more
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