Name
Title | ||
|---|---|---|
DSP-Based Sensorless Electric Motor Fault Diagnosis Tools for Electric and Hybrid Electric Vehicle Powertrain Applications. |
Abstract | ||
|---|---|---|
The integrity of electric motors in work and passenger vehicles can best be maintained by frequently monitoring its condition. In this paper, a signal processing-based motor fault diagnosis scheme is presented in detail. The practicability and reliability of the proposed algorithm are tested on rotor asymmetry detection at zero speed, i.e., at startup and idle modes in the case of a vehicle. Regul... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TVT.2008.2007587 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Electric motors,Fault diagnosis,Hybrid electric vehicles,Mechanical power transmission,Testing,Rotors,Induction motors,Maintenance,Condition monitoring,Signal processing | Powertrain,Induction motor,Hybrid vehicle,Computer science,Electric vehicle,AC motor,Electronic engineering,Rotor (electric),Electric motor,Single-phase electric power | Journal |
Volume | Issue | ISSN |
58 | 5 | 0018-9545 |
Citations | PageRank | References |
13 | 1.21 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bilal Akin | 1 | 113 | 21.18 |
| Salih Baris Ozturk | 2 | 18 | 2.58 |
| Hamid A. Toliyat | 3 | 126 | 26.32 |
| Mark Rayner | 4 | 64 | 8.82 |