Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
Accurate evaluation of machine degradation during long-time operation is of great
importance. With the rapid development of modern industries, physical model is becoming …
importance. With the rapid development of modern industries, physical model is becoming …
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
Intelligent machinery fault diagnosis system has been receiving increasing attention recently
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
Prediction of bearing remaining useful life with deep convolution neural network
Cyber-physical-social system (CPSS) has drawn tremendous attention in industrial
applications such as industrial Internet of Things (IIoT). As the fundamental component of …
applications such as industrial Internet of Things (IIoT). As the fundamental component of …
Recent advances in the theory and practice of logical analysis of data
Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …
OntoProg: An ontology-based model for implementing Prognostics Health Management in mechanical machines
Abstract Trends in Prognostics Health Management (PHM) have been introduced into
mechanical items of manufacturing systems to predict Remaining Useful Life (RUL). PHM as …
mechanical items of manufacturing systems to predict Remaining Useful Life (RUL). PHM as …
[HTML][HTML] Sound-based remote real-time multi-device operational monitoring system using a convolutional neural network (CNN)
Smart factory is the main keyword in the field of manufacturing processes about the fourth
industrial revolution. To realize the smart factory, making all pieces of device into smart …
industrial revolution. To realize the smart factory, making all pieces of device into smart …
[HTML][HTML] Machine learning techniques for satellite fault diagnosis
SK Ibrahim, A Ahmed, MAE Zeidan, IE Ziedan - Ain Shams Engineering …, 2020 - Elsevier
Satellites are known as a remotely operated systems with high degree of complexity due to
large number of interconnected devices onboard the satellite. Consequently, it has …
large number of interconnected devices onboard the satellite. Consequently, it has …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
An ontology-based model for prognostics and health management of machines
Recent advances in smart manufacturing open up opportunities in industrial support,
specifically in maintenance and physical asset management. This trend allows data …
specifically in maintenance and physical asset management. This trend allows data …