Abstract
A wind farm often consists of a number of wind turbines (WTs) operating simultaneously, which not only challenges the operation of the wind farm but makes the condition monitoring (CM) more costly than ever before if each turbine is equipped with a standard commercially available WT CM system (e.g. SKF's WindCon system). With the continual increase of wind farm size, the operator is under increasing pressure to lower the CM cost so that the energy cost can be accordingly reduced in the end. The research presented in this paper is for meeting such a requirement by developing a new cost-effective CM technique based on detecting the transient period of a single WT generator stator current signal. Instead of collecting multiple numbers of CM signals from WT key components, the new technique relies on the use of only a single electric current signal collected from WT generator stator. Moreover, the new technique directly deals with the time waveform of the signal without using any artificial transforms (e.g. Fourier transform). Therefore, it is potentially able to provide more reliable CM result. Experiments have shown that the proposed technique is valid for detecting both the electrical and mechanical faults emulated on a specially designed WT drive train test rig.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow |
| Subtitle of host publication | Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 578-583 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479961139 |
| DOIs | |
| Publication status | Published - 9 Jul 2015 |
| Externally published | Yes |
| Event | 2015 IEEE International Instrumentation and Measurement Technology Conference - Pisa, Italy Duration: 11 May 2015 → 14 May 2015 |
Publication series
| Name | Conference Record - IEEE Instrumentation and Measurement Technology Conference |
|---|---|
| Publisher | IEEE |
| Volume | 2015-July |
| ISSN (Print) | 1091-5281 |
Conference
| Conference | 2015 IEEE International Instrumentation and Measurement Technology Conference |
|---|---|
| Abbreviated title | 12MTC 2015 |
| Country/Territory | Italy |
| City | Pisa |
| Period | 11/05/15 → 14/05/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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