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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gheitasi, A. Al-Anbuky, A. Tek Tjing Lie |
| Copyright Year | 2011 |
| Description | Author affiliation: Sensor Network and Smart Environment Research Centre, Auckland University of Technology, Auckland - New Zealand (Gheitasi, A.; Al-Anbuky, A.; Tek Tjing Lie) |
| Abstract | Diagnosis of the significant events in electrical equipments is a challenging research area. Motor current signature analysis provides good results in laboratory environment. In real life situation electrical machines usually share voltage and current from common terminals and would easily influence each other. This will result in considerable amount of interferences among motors and doubt in identity of fault signals. Therefore, estimating the mutual influence of motors may ease out identifying the original signal from the environmental noise. This research aims at modelling the propagation of signals that are caused by faults of induction motors in power networks. Estimating the propagation pattern of fault signal leads to a method to discriminate and identify the original source of major events in industrial networks. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 305555 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457717932 |
| e-ISBN | 9781921897078 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Queensland Univ of Tech |
| Subject Keyword | Induction motors Motor current signature analysis decision making Attenuation Power system reliability Impedance Reliability Circuit faults signal interference |
| Content Type | Text |
| Resource Type | Article |
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