Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
Marine systems and equipment prognostics and health management: a systematic review from health condition monitoring to maintenance strategy
P Zhang, Z Gao, L Cao, F Dong, Y Zou, K Wang… - Machines, 2022 - mdpi.com
Prognostics and health management (PHM) is an essential means to optimize resource
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …
Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …
interconnected grid of machinery, communication systems, and computational resources …
Industrial expert systems review: A comprehensive analysis of typical applications
X Yang, C Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …
deducing solutions to problems based on the rules contained within a knowledge base …
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
In fault diagnosis, machine learning theories are gaining popularity as they proved to be an
efficient tool that not only reduces human effort but also identifies the health conditions of the …
efficient tool that not only reduces human effort but also identifies the health conditions of the …
Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network
JK Alsalaet, A Hajnayeb… - Measurement Science and …, 2023 - iopscience.iop.org
Accurate fault diagnosis is vital for modern maintenance strategies to improve machinery
reliability and efficiency. Automated predictive tools, such as deep learning, are gaining …
reliability and efficiency. Automated predictive tools, such as deep learning, are gaining …
Improving accuracy of cavitation severity detection in centrifugal pumps using a hybrid feature selection technique
Although the severity of cavitation determines the type of maintenance procedure, most of
the previous studies have been focused only on the detection. This paper presents a system …
the previous studies have been focused only on the detection. This paper presents a system …
Facilities management: the strategic selection of a maintenance system
K Fraser - Journal of Facilities Management, 2014 - emerald.com
Purpose–A major role of facilities management is ensuring the useability, reliability, and
safety of the asset being managed. To achieve this management must use a system to …
safety of the asset being managed. To achieve this management must use a system to …
Cavitation analysis in centrifugal pumps based on vibration bispectrum and transfer learning
A Hajnayeb - Shock and Vibration, 2021 - Wiley Online Library
Detection of cavitation in centrifugal pumps is critical in their condition monitoring. In order to
detect cavitation more accurately and confidently, more advanced signal processing …
detect cavitation more accurately and confidently, more advanced signal processing …
Failure diagnosis and prognosis of rolling-element bearings using Artificial Neural Networks: A critical overview
BKN Rao, PS Pai… - Journal of Physics …, 2012 - iopscience.iop.org
Abstract Rolling-Element Bearings are extensively used in almost all global industries. Any
critical failures in these vitally important components would not only affect the overall …
critical failures in these vitally important components would not only affect the overall …