Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review

Z Zhao, J Wu, T Li, C Sun, R Yan, X Chen - Chinese Journal of Mechanical …, 2021 - Springer
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

A brief review of acoustic and vibration signal-based fault detection for belt conveyor idlers using machine learning models

F Alharbi, S Luo, H Zhang, K Shaukat, G Yang… - Sensors, 2023 - mdpi.com
Due to increasing demands for ensuring the safety and reliability of a system, fault detection
(FD) has received considerable attention in modern industries to monitor their machines …

Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning

J Li, L Pan, M Suvarna, YW Tong, X Wang - Applied Energy, 2020 - Elsevier
Conversion of wet organic wastes into renewable energy is a promising way to substitute
fossil fuels and avoid environmental deterioration. Hydrothermal carbonization and pyrolysis …

[HTML][HTML] Machine learning approach using MLP and SVM algorithms for the fault prediction of a centrifugal pump in the oil and gas industry

PF Orrù, A Zoccheddu, L Sassu, C Mattia, R Cozza… - Sustainability, 2020 - mdpi.com
The demand for cost-effective, reliable and safe machinery operation requires accurate fault
detection and classification to achieve an efficient maintenance strategy and increase …

Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review

V Singh, P Gangsar, R Porwal, A Atulkar - Journal of Intelligent …, 2023 - Springer
The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images

A Kumar, CP Gandhi, Y Zhou, R Kumar, J **ang - Applied Acoustics, 2020 - Elsevier
An improved CNN is proposed for the diagnosis of defects in components of a centrifugal
pump. The improvement is attained by modifying the cost function of CNN. For defect …

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 …

Predictive maintenance for pump systems and thermal power plants: State-of-the-art review, trends and challenges

J Fausing Olesen, HR Shaker - Sensors, 2020 - mdpi.com
Thermal power plants are an important asset in the current energy infrastructure, delivering
ancillary services, power, and heat to their respective consumers. Faults on critical …

Research on fault diagnosis technology of centrifugal pump blade crack based on PCA and GMM

S Cao, Z Hu, X Luo, H Wang - Measurement, 2021 - Elsevier
Centrifugal pumps are widely used in modern industry, and blades are the key parts of it.
The cracks on blades may result in a very serious consequence. In this paper, a fault …

Bearing fault diagnosis with varying conditions using angular domain resampling technology, SDP and DCNN

Y Gu, L Zeng, G Qiu - Measurement, 2020 - Elsevier
Due to a difficulty in dealing with the nonlinear vibration signals collected from varying
speeds by conventional signal process method, it was worse to develop fault diagnosis in …