Search
Now showing items 1-4 of 4
Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing prognostic models for systems with multiple ...
Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With the development of the product-service paradigm, many original equipment manufacturers (OEMs) have begun to provide remanufacturing services besides maintenance services as the lessors. An integrated contract including ...
Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With many industries increasingly relying on leased equipment and machinery, many original equipment manufacturers (OEMs) are turning to product-service packages where they deliver (typically lease) the physical assets. ...
Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: In mass customization, a manufacturing line is required to be kept in reliable operation to handle product demand volatility and potential machine degradations. Recent advances in data acquisition and processing allow for ...