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Condition assessment and end-of-life prediction system for electric machines and their loads
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Toliyat, Hamid A. Parlos, Alexander G. |
| Copyright Year | 2005 |
| Description | An end-of-life prediction system developed for electric machines and their loads could be used in integrated vehicle health monitoring at NASA and in other government agencies. This system will provide on-line, real-time condition assessment and end-of-life prediction of electric machines (e.g., motors, generators) and/or their loads of mechanically coupled machinery (e.g., pumps, fans, compressors, turbines, conveyor belts, magnetic levitation trains, and others). In long-duration space flight, the ability to predict the lifetime of machinery could spell the difference between mission success or failure. Therefore, the system described here may be of inestimable value to the U.S. space program. The system will provide continuous monitoring for on-line condition assessment and end-of-life prediction as opposed to the current off-line diagnoses. |
| File Size | 122575 |
| Page Count | 2 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20110016294 |
| Archival Resource Key | ark:/13960/t6n063t0m |
| Language | English |
| Publisher Date | 2005-10-01 |
| Access Restriction | Open |
| Subject Keyword | Fault Detection Systems Engineering Life Durability Failure Analysis Reliability Engineering Reliability Prediction Analysis Techniques Failure Loads Forces Electric Motors Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
