Lstm-autoencoder for vibration anomaly detection in vertical carousel storage and retrieval system (vcsrs)
JS Do, AB Kareem, JW Hur - Sensors, 2023 - mdpi.com
Industry 5.0, also known as the “smart factory”, is an evolution of manufacturing technology
that utilizes advanced data analytics and machine learning techniques to optimize …
that utilizes advanced data analytics and machine learning techniques to optimize …
A modular ice cream factory dataset on anomalies in sensors to support machine learning research in manufacturing systems
A small deviation in manufacturing systems can cause huge economic losses, and all
components and sensors in the system must be continuously monitored to provide an …
components and sensors in the system must be continuously monitored to provide an …
Supervised-learning-based intelligent fault diagnosis for mechanical equipment
G Hong, D Suh - IEEE Access, 2021 - ieeexplore.ieee.org
Recently, anomaly detection for improving the productivity of machinery in industrial
environments has drawn considerable attention. As large-scale data collection and …
environments has drawn considerable attention. As large-scale data collection and …
Autocorrelation integrated gaussian based anomaly detection using sensory data in industrial manufacturing
In industrial processes, early detection of anomalies is crucial for reducing process failures,
meeting the quality assurance (QA) requirements, and lowering raw material wastage …
meeting the quality assurance (QA) requirements, and lowering raw material wastage …
Fast adaptive RNN encoder–decoder for anomaly detection in SMD assembly machine
Surface Mounted Device (SMD) assembly machine manufactures various products on a
flexible manufacturing line. An anomaly detection model that can adapt to the various …
flexible manufacturing line. An anomaly detection model that can adapt to the various …
Industrial internet of things and unsupervised deep learning enabled real-time occupational safety monitoring in cold storage warehouse
Occupational safety and health (OSH) has always been a big concern in the labor-intensive
warehouse industry, especially under peculiar circumstances like a low temperature …
warehouse industry, especially under peculiar circumstances like a low temperature …
Smart anomaly detection and prediction for assembly process maintenance in compliance with industry 4.0
P Tanuska, L Spendla, M Kebisek, R Duris, M Stremy - Sensors, 2021 - mdpi.com
One of the big problems of today's manufacturing companies is the risks of the assembly line
unexpected cessation. Although planned and well-performed maintenance will significantly …
unexpected cessation. Although planned and well-performed maintenance will significantly …
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 …
[PDF][PDF] Anomaly detection and diagnosis in manufacturing systems: A comparative study of statistical, machine learning and deep learning techniques
Multivariate sensor data collected from manufacturing and process industries represents
actual operational behavior and can be used for predictive maintenance of the plants …
actual operational behavior and can be used for predictive maintenance of the plants …
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
Anomaly in mechanical systems may cause equipment to break down with serious safety,
environment, and economic impact. Since many mechanical equipment usually operates …
environment, and economic impact. Since many mechanical equipment usually operates …