Search
Skip to Search Results
Filter
Author / Creator / Contributor
Subject / Keyword
- 1Deep learning
- 1Fault diagnosis
- 1Flow Network
- 1Minimal Path
- 1Multi-state system
- 1Network Reliability
Year
Collections
Languages
Item type
Departments
-
Development of deep learning-based methods for rotating machinery fault diagnosis under varying speed conditions
DownloadSpring 2023
Rotating machines are widely used in industrial applications, such as driving motors in elevators and gearboxes in wind turbines. Machines in these applications often operate under varying speed conditions due to variable operation demand, ever-changing environment conditions and so on. As time...
-
Spring 2016
In network reliability context, it is often assumed that both the components and the systems can take two possible states, completely working or totally failed. However, in many real-world network systems, the component states and the system state can take more than two values. This multi-state...
1 - 2 of 2