Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

BA Tama, M Vania, S Lee, S Lim - Artificial Intelligence Review, 2023 - Springer
Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …

[HTML][HTML] Machine learning methods for wind turbine condition monitoring: A review

A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn… - Renewable energy, 2019 - Elsevier
This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …

Vibration-based anomaly detection using LSTM/SVM approaches

K Vos, Z Peng, C Jenkins, MR Shahriar… - … Systems and Signal …, 2022 - Elsevier
Fault detection is a critical step for machine condition monitoring and maintenance. With
advances in machine learning technologies, automated faulty condition identification can be …

Machine learning based digital twin framework for production optimization in petrochemical industry

Q Min, Y Lu, Z Liu, C Su, B Wang - International Journal of Information …, 2019 - Elsevier
Digital twins, along with the internet of things (IoT), data mining, and machine learning
technologies, offer great potential in the transformation of today's manufacturing paradigm …

Applications of artificial intelligence in engineering and manufacturing: a systematic review

IK Nti, AF Adekoya, BA Weyori… - Journal of Intelligent …, 2022 - Springer
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

A review on data-driven fault severity assessment in rolling bearings

M Cerrada, RV Sánchez, C Li, F Pacheco… - … Systems and Signal …, 2018 - Elsevier
Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …

Convolutional neural network based fault detection for rotating machinery

O Janssens, V Slavkovikj, B Vervisch… - Journal of Sound and …, 2016 - Elsevier
Vibration analysis is a well-established technique for condition monitoring of rotating
machines as the vibration patterns differ depending on the fault or machine condition …

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

O Serradilla, E Zugasti, J Rodriguez, U Zurutuza - Applied Intelligence, 2022 - Springer
Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …

Digitization in wood supply–A review on how Industry 4.0 will change the forest value chain

F Müller, D Jaeger, M Hanewinkel - Computers and Electronics in …, 2019 - Elsevier
Abstract The term Industry 4.0 (I 4.0) has been shaping the discussion about increasing
digitization in industrial and service value chains for several years. The concepts and …

Condition monitoring and fault diagnosis of induction motor

SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …