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Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
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
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 …
(FD) has received considerable attention in modern industries to monitor their machines …
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Conversion of wet organic wastes into renewable energy is a promising way to substitute
fossil fuels and avoid environmental deterioration. Hydrothermal carbonization and pyrolysis …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
speeds by conventional signal process method, it was worse to develop fault diagnosis in …