A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory
K Zhao, L Li, Z Chen, R Sun, G Yuan, J Li - Applied Soft Computing, 2022 - Elsevier
Abstract Since Dempster–Shafer evidence theory was proposed, it has been widely and
successfully used in many fields including risk analysis, fault diagnosis, wireless sensor …
successfully used in many fields including risk analysis, fault diagnosis, wireless sensor …
An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition
Z Wang, J Wang, Y Wang - Neurocomputing, 2018 - Elsevier
Planetary gearbox has complex structures and works under various non-stationary
operating conditions. The vibration signals of planetary gearbox are complicated and …
operating conditions. The vibration signals of planetary gearbox are complicated and …
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and
vibratory measurements in such mechanical devices are all sensitive to the existence of …
vibratory measurements in such mechanical devices are all sensitive to the existence of …
Motor fault diagnosis based on short-time Fourier transform and convolutional neural network
LH Wang, XP Zhao, JX Wu, YY Xie… - Chinese Journal of …, 2017 - Springer
With the rapid development of mechanical equipment, the mechanical health monitoring
field has entered the era of big data. However, the method of manual feature extraction has …
field has entered the era of big data. However, the method of manual feature extraction has …
[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Intelligent maintenance systems and predictive manufacturing
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …
manufacturing industry is facing challenges and desires to seek continuous improvement …
Multisensor fault diagnosis modeling based on the evidence theory
Y Lin, Y Li, X Yin, Z Dou - IEEE Transactions on Reliability, 2018 - ieeexplore.ieee.org
Fault diagnosis is a typical multisensor information fusion problem. The information obtained
from different sensors, such as sound, pressure, vibration, and temperature, can be …
from different sensors, such as sound, pressure, vibration, and temperature, can be …
A review of multisensor data fusion solutions in smart manufacturing: Systems and trends
Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
A PCA and two-stage Bayesian sensor fusion approach for diagnosing electrical and mechanical faults in induction motors
Induction motors are widely used in industrial plants for critical operations. Stator faults,
bearing faults, or rotor faults can lead to unplanned downtime with associated cost and …
bearing faults, or rotor faults can lead to unplanned downtime with associated cost and …