Abstract
A cable fault locator based on a reflectometry is used to test the integrity of a cable. It is well known that all the reflectometries have an inherited drawback known as a blind spot that indicates the minimum length of the cable that can be measured. This paper proposes a method based on an adaptive recursive least squares filtering and a normalized cross correlation to reduce the blind spot. The experimental results show that the proposed method can estimate a fault location on the cable with high spatial resolution.
| Original language | English |
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| Title of host publication | ICCAS 2010 - International Conference on Control, Automation and Systems |
| Pages | 637-640 |
| Number of pages | 4 |
| Publication status | Published - 2010 Dec 1 |
| Event | International Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of Duration: 2010 Oct 27 → 2010 Oct 30 |
Publication series
| Name | ICCAS 2010 - International Conference on Control, Automation and Systems |
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Other
| Other | International Conference on Control, Automation and Systems, ICCAS 2010 |
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| Country | Korea, Republic of |
| City | Gyeonggi-do |
| Period | 10/10/27 → 10/10/30 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Control and Systems Engineering
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Lee, C. K., Kwak, K. S., Yoon, T. S., & Park, J. B. (2010). Adaptive RLS filtering for the reduction of blind spot in a cable fault locator. In ICCAS 2010 - International Conference on Control, Automation and Systems (pp. 637-640). [5669848] (ICCAS 2010 - International Conference on Control, Automation and Systems).