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Advanced Numerical Modeling in Manufacturing Processes
(North Dakota State University, 2022)
In manufacturing applications, a large number of data can be collected by experimental studies and/or sensors. This collected data is vital to improving process efficiency, scheduling maintenance activities, and predicting ...
A Study on Deep Learning for Prognostics and Health Management Applications: An Evolutionary Convolutional Long Short-Term Memory Deep Neural Network Data-Driven Model for Prognostics of Aircraft Gas Turbine
(North Dakota State University, 2022)
The fundamental concept of prognostics and health management (PHM) within the scope of Condition-Based Maintenance (CBM) is to find an approach to evaluate the system health and predict its remaining useful life (RUL). ...
Predictive Reliability Analysis and Maintenance Planning of Complex Systems Working under Dynamic Operating Conditions
(North Dakota State University, 2022)
Predictive analytics has multiple facets that range from failure predictability and optimal asset management to high-level managerial insights. Predicting the failure time of assets and estimating their reliability through ...