Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, K Kotecha - Artificial Intelligence Review, 2023 - Springer
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …

[PDF][PDF] Machine learning for fault analysis in rotating machinery: A comprehensive review

O Das, DB Das, D Birant - Heliyon, 2023 - cell.com
As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

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 …

Predictive monitoring of incipient faults in rotating machinery: a systematic review from data acquisition to artificial intelligence

K Saini, SS Dhami, Vanraj - Archives of Computational Methods in …, 2022 - Springer
Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Artificial intelligence for fault diagnosis of rotating machinery: A review

R Liu, B Yang, E Zio, X Chen - Mechanical Systems and Signal Processing, 2018 - Elsevier
Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …

Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review

M Maurya, I Panigrahi, D Dash, C Malla - Soft Computing, 2024 - Springer
The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Fault diagnosis of various rotating equipment using machine learning approaches–A review

S Manikandan, K Duraivelu - Proceedings of the Institution of …, 2021 - journals.sagepub.com
Fault diagnosis of various rotating equipment plays a significant role in industries as it
guarantees safety, reliability and prevents breakdown and loss of any source of energy …

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms

M Jalayer, C Orsenigo, C Vercellis - Computers in Industry, 2021 - Elsevier
Abstract Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …

Fault diagnosis of rotating machinery: A review and bibliometric analysis

J Chen, C Lin, D Peng, H Ge - Ieee Access, 2020 - ieeexplore.ieee.org
Fault diagnosis of rotating machinery (FDRM) has attracted continuous attention because of
its great importance to industrial engineering, promoting the healthy and prosperous …