Machine learning for fault analysis in rotating machinery: A comprehensive review

O Das, DB Das, D Birant - Heliyon, 2023 - cell.com
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 …

A review of pump cavitation fault detection methods based on different signals

X Liu, J Mou, X Xu, Z Qiu, B Dong - Processes, 2023 - mdpi.com
As one of the research hotspots in the field of pumps, cavitation detection plays an important
role in equipment maintenance and cost-saving. Based on this, this paper analyzes …

A two-level adaptive chirp mode decomposition and tangent entropy in estimation of single-valued neutrosophic cross-entropy for detecting impeller defects in …

G Vashishtha, S Chauhan, N Yadav, A Kumar… - Applied acoustics, 2022 - Elsevier
A novel approach for identifying the impeller defects in the centrifugal pump has been
demonstrated by extracting the single-valued neutrosophic cross-entropy (SVNCE) of …

Review of machine learning based fault detection for centrifugal pump induction motors

CE Sunal, V Dyo, V Velisavljevic - IEEE access, 2022 - ieeexplore.ieee.org
Centrifugal pumps are an integral part of many industrial processes and are used
extensively in water supply, sewage, heating and cooling systems. While there are several …

Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump

NS Ranawat, J Prakash, A Miglani… - Engineering Applications of …, 2023 - Elsevier
Blockages in the suction or discharge side of the pump adversely affect the pump's
performance by reducing the flow rate and head, increasing vibration, noise, and …

Multi-cavitation states diagnosis of the vortex pump using a combined DT-CWT-VMD and BO-LW-KNN based on motor current signals

W Zeng, P Zhou, Y Wu, D Wu, M Xu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Vortex pumps play a crucial role in industrial and municipal settings by transferring high-
viscosity and particle-laden fluids. However, their performance and reliability are …

A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks

Z Xu, Z Wang, C Gao, K Zhang, J Lv, J Wang, L Liu - Computers in Industry, 2024 - Elsevier
In industrial sectors such as ship**, chemical processing, and energy production,
centrifugal pumps often experience failures due to harsh operational environments, making …

Monitoring and predictive maintenance of centrifugal pumps based on smart sensors

L Chen, L Wei, Y Wang, J Wang, W Li - Sensors, 2022 - mdpi.com
Centrifugal pumps have a wide range of applications in industrial and municipal water
affairs. During the use of centrifugal pumps, failures such as bearing wear, blade damage …

A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals

Y Sha, J Faber, S Gou, B Liu, W Li, S Schramm… - … Applications of Artificial …, 2022 - Elsevier
With the rapid development of smart manufacturing, data-driven machinery health
management has received a growing attention. As one of the most popular methods in …

[HTML][HTML] Application of Bayesian regularization back propagation neural network in sensorless measurement of pump operational state

D Wu, H Huang, S Qiu, Y Liu, Y Wu, Y Ren, J Mou - Energy Reports, 2022 - Elsevier
Under the strategic framework of global carbon emission reduction, it is urgent to reduce the
energy consumption of centrifugal pumps. Monitoring pump's operational states can …