Vibration-based fault diagnosis of broken impeller and mechanical seal failure in industrial mono-block centrifugal pumps using deep convolutional neural network

S Manikandan, K Duraivelu - Journal of Vibration Engineering & …, 2023 - Springer
Purpose Hydraulic pump failure results in a high rate of energy loss, performance
degradation, high vibration levels, and continuous noise emission. An unexpected pump …

Global and local feature extraction using a convolutional autoencoder and neural networks for diagnosing centrifugal pump mechanical faults

AE Prosvirin, Z Ahmad, JM Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Centrifugal pumps are important types of electro-mechanical machines used for fluid and
energy conveyance. Mechanical faults in centrifugal pumps lead to abnormal impacts in the …

Fault diagnosis for centrifugal pumps using deep learning and softmax regression

W Zhao, Z Wang, C Lu, J Ma, L Li - 2016 12th world congress …, 2016 - ieeexplore.ieee.org
Fault diagnosis of centrifugal pumps is critical to lower its operating and maintenance costs.
Due to the non-stationary and non-linear characteristics of vibration signals of centrifugal …

A fault diagnosis framework for centrifugal pumps by scalogram-based imaging and deep learning

MJ Hasan, A Rai, Z Ahmad, JM Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Centrifugal pumps are the most vital part of any process industry. A fault in centrifugal pump
can affect imperative industrial processes. To ensure reliable operation of the centrifugal …

An integrated approach based on improved CEEMDAN and LSTM deep learning neural network for fault diagnosis of reciprocating pump

F Bie, T Du, F Lyu, M Pang, Y Guo - Ieee Access, 2021 - ieeexplore.ieee.org
The reciprocating pump plays an important role in the petrochemical industry procedure, it is
crucial in ensuring the systematic safety and stability. Since the useful feature information of …

Deep learning for enhanced fault diagnosis of monoblock centrifugal pumps: Spectrogram-based analysis

P Chennai Viswanathan, SN Venkatesh… - Machines, 2023 - mdpi.com
The reliable operation of monoblock centrifugal pumps (MCP) is crucial in various industrial
applications. Achieving optimal performance and minimizing costly downtime requires …

A data indicator-based deep belief networks to detect multiple faults in axial piston pumps

S Wang, J Xiang, Y Zhong, H Tang - Mechanical Systems and Signal …, 2018 - Elsevier
Detecting faults in axial piston pumps is of significance to enhance the reliability and security
of hydraulic systems. However, it is difficult to detect multiple faults in the hydraulic …

A centrifugal pump fault diagnosis framework based on supervised contrastive learning

S Ahmad, Z Ahmad, JM Kim - Sensors, 2022 - mdpi.com
A novel intelligent centrifugal pump (CP) fault diagnosis method is proposed in this paper.
The method is based on the contrast in vibration data obtained from a centrifugal pump (CP) …

A data-driven diagnosis scheme based on deep learning toward fault identification of the hydraulic piston pump

Y Zhu, T Zhou, S Tang, S Yuan - Journal of Marine Science and …, 2023 - mdpi.com
The piston pump is the significant source of motive force in a hydraulic transmission system.
Owing to the changeable working conditions and complex structural characteristics, multiple …

On-line time domain vibration and current signals based multi-fault diagnosis of centrifugal pumps using support vector machines

JS Rapur, R Tiwari - Journal of Nondestructive Evaluation, 2019 - Springer
It has been observed that centrifugal pumps (CPs) usually fail due to flow instabilities and
other factors related to the hydraulic pump design. What is often ignored is the role of one …