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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yaman, O. Aydin, I. Karakose, M. Akin, E. |
| Copyright Year | 2013 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Firat Univ., Elazığ, Turkey (Yaman, O.; Aydin, I.; Karakose, M.; Akin, E.) |
| Abstract | The development of a monitoring system for critical components is rather important to accurately detect different defects in incipient stage. Induction motors are the workhorses of many industrial systems. Fault occurred in this motor has severe effects such as cost, safety, and production disruption. In this study, a wireless sensor network-based fault diagnosis system is proposed for bearing and stator faults occurred in induction motors. The fault related features are extracted from current signal of the motor and the faults are detected by using the obtained features with intelligent computing techniques. In the established laboratory environment, conditions of multiple motors are monitored by obtaining signals from wireless sensor nodes. All steps of the proposed approach such as data acquisition, signal processing, and decision making have been experimentally carried out and verified. |
| Sponsorship | IEEE Turkey Sect. SP Chapter |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1143010 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467355629 |
| e-ISBN | 9781467355636 |
| e-ISBN | 9781467355612 |
| DOI | 10.1109/SIU.2013.6531587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-24 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Integrated circuits Fault diagnosis Wireless sensor networks Induction motors induction motors fuzzy logic fault detection Stators Feature extraction Monitoring principal component analysis |
| Content Type | Text |
| Resource Type | Article |
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