Name
Abstract | ||
|---|---|---|
This paper deals with data-driven fault diagnosis of three-phase induction motor. The tools from subspace identification based data-driven scheme are utilized to design a framework of fault detection and isolation. The fault detection scheme is so designed that it caters for even small magnitude faults. In order to discriminate different faults, a fault isolation algorithm is proposed. Isolation t... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIE.2018.2866104 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Induction motors,Circuit faults,Stator windings,Fault detection,Fault diagnosis,Integrated circuit modeling | Journal | 66 |
Issue | ISSN | Citations |
6 | 0278-0046 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Faraz Tariq | 1 | 1 | 0.35 |
| Abdul Qayyum Khan | 2 | 42 | 6.36 |
| Muhammad Abid | 3 | 46 | 10.69 |
| Ghulam Mustafa | 4 | 74 | 16.17 |