Abstract
The detection and identification of potential faults through multi-level hypothesis testing was presented. A recursive algorithm was formulated for the real-time detection and identification of potential faults from continuous sensor signals. The algorithm was applicable to real-time condition monitoring, early warning and fault identification in complex dynamical systems such as under-sea vehicles, advanced aircraft, spacecraft and power plants.
Original language | English (US) |
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Pages (from-to) | 853-859 |
Number of pages | 7 |
Journal | Signal Processing |
Volume | 82 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2002 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering