Automatic segmentation and prognostic method of a turbofan engine using manifold learning and spectral clustering algorithms
In most of the previous fault diagnostic literatures, the fault modes and states are pre-determined (i.e. the model structure (topology) is a priori known). However, in practical situation, the monitoring data, especially for the entire life-cycle data, nothing is known about the nature and the orig...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-09-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814017722712 |