Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …
Vibration measurements are critical for diagnosing industrial machinery malfunctions …
[HTML][HTML] Machine learning methods for wind turbine condition monitoring: A review
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 …
used for condition monitoring in wind turbines (eg blade fault detection or generator …
Vibration-based anomaly detection using LSTM/SVM approaches
Fault detection is a critical step for machine condition monitoring and maintenance. With
advances in machine learning technologies, automated faulty condition identification can be …
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 …
technologies, offer great potential in the transformation of today's manufacturing paradigm …
Applications of artificial intelligence in engineering and manufacturing: a systematic review
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 …
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
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 …
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 …
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 …
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 …
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 …
very vital component. Almost in every industry, around 90% of the machines apply an …