Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
Prognostics and health management for induction machines: a comprehensive review
C Huang, S Bu, HH Lee, KW Chan… - Journal of Intelligent …, 2024 - Springer
Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …
transportation, transmission, and energy due to their ruggedness, low cost, and high …
An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools
There has been considerable advances, over the last few decades, in sensing
instrumentation, hardware, signal processing algorithms, and internet technology …
instrumentation, hardware, signal processing algorithms, and internet technology …
[HTML][HTML] From “prepare for the unknown” to “train for what's coming”: A digital twin-driven and cognitive training approach for the workforce of the future in smart …
Despite on-the-job assistance technology is getting popular in the Smart Operator 4.0
literature, non-routine work also requires highly-skilled and pre-trained workers to prevent …
literature, non-routine work also requires highly-skilled and pre-trained workers to prevent …
A prescriptive maintenance system for intelligent production planning and control in a smart cyber-physical production line
Don't just predict problems–prescribe a solution: that's the premise behind prescriptive
maintenance (PsM). Better and more data, coupled with Artificial Intelligence, Simulation …
maintenance (PsM). Better and more data, coupled with Artificial Intelligence, Simulation …
A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows
In the manufacturing of metallic parts, the machining process is a critical factor for ensuring
product quality. Machining condition monitoring is essential for the intelligent process …
product quality. Machining condition monitoring is essential for the intelligent process …
A novel feature extraction and fault detection technique for the intelligent fault identification of water pump bearings
The reliable and cost-effective condition monitoring of the bearings installed in water pumps
is a real challenge in the industry. This paper presents a novel strong feature selection and …
is a real challenge in the industry. This paper presents a novel strong feature selection and …
A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault
C Wu, T Chen, R Jiang, L Ning, Z Jiang - Journal of Intelligent …, 2017 - Springer
A novel methodology for early diagnosis of rolling element bearing fault is employed based
on continuous wavelet transform (CWT) and support vector machine (SVM). CWT is …
on continuous wavelet transform (CWT) and support vector machine (SVM). CWT is …
In-process complex machining condition monitoring based on deep forest and process information fusion
Abnormal machining condition causes losses of quality for finished part. A machining
condition monitoring system is considerably vital in the intelligent manufacturing process …
condition monitoring system is considerably vital in the intelligent manufacturing process …
A novel multi-agent approach to identify faults in line connected three-phase induction motors
Three-phase induction motors (TIMs) are the key elements of electromechanical energy
conversion in a variety of productive sectors. Identifying a defect in a running motor, before a …
conversion in a variety of productive sectors. Identifying a defect in a running motor, before a …