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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A Review of Digital Twinning for Rotating Machinery. [PDF]
Sensors (Basel)This review focuses on the definitions, modalities, applications, and performance of various aspects of digital twins (DTs) in the context of transmission and industrial machinery.
Inturi V +3 more
europepmc +5 more sources
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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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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Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey. [PDF]
Sensors (Basel)This article presents a comprehensive collection of formulas and calculations for hand-crafted feature extraction of condition monitoring signals. The documented features include 123 for the time domain and 46 for the frequency domain.
Sánchez RV +5 more
europepmc +2 more sources
Edge Computing and Fault Diagnosis of Rotating Machinery Based on MobileNet in Wireless Sensor Networks for Mechanical Vibration. [PDF]
Sensors (Basel)With the rapid development of the Industrial Internet of Things in rotating machinery, the amount of data sampled by mechanical vibration wireless sensor networks (MvWSNs) has increased significantly, straining bandwidth capacity.
Huang Y +6 more
europepmc +2 more sources
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
doaj +2 more sources
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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