Proceedings Article10.1109/ICSMC.2006.385120
Clonal Optimization of Negative Selection Algorithm with Applications in Motor Fault Detection
Xiao-Zhi Gao,Seppo J. Ovaska,Xiaolei Wang,Mo-Yuen Chow +3 more
- 01 Oct 2006
- Vol. 6, pp 5118-5123
21
TL;DR: Taking advantage of the clonal optimization strategy, the NSA detectors can be optimized for anomaly detection and a new motor fault detection scheme using the authors' NSA is discussed.
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Abstract: In this paper, we employ the clonal optimization method to optimize the detectors in the negative selection algorithm (NSA). Taking advantage of the clonal optimization strategy, the NSA detectors can be optimized for anomaly detection. A new motor fault detection scheme using our NSA is also discussed. We demonstrate the efficiency of the proposed approach with an example of bearings fault detection.
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Citations
A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory
TL;DR: In this paper , the authors provide a literature review of immune-inspired fault detection approaches in sensor networks proposed in the last two decades and discuss the unique properties of the human immune system and how the found approaches exploit them.
A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory
TL;DR: In this article , the authors provide a literature review of immune-inspired fault detection approaches in sensor networks proposed in the last two decades and discuss the unique properties of the human immune system and how the found approaches exploit them.
•Dissertation
Artificial immune system and particle swarm optimization for electroencephalogram based epileptic seizure classification
Sahel Ba-Karait,Nasser Omer +1 more
- 01 Nov 2015
TL;DR: Two hybrid optimization-based negative selection models were developed and demonstrated that the methods can efficiently achieve a reliable recognition of epileptic activity in EEG signals and are preferred due to their efficiency in time and space.
4
A Novel Negative Selection Algorithm for Recognition Problems
Min Hu,Yanlin Yu,Shu-Uts Silc +2 more
TL;DR: A novel negative selection algorithm for recognition problems was given, where a co-stimulation signal was added to start the detectors, which is a key factor in immune response.
3
•Dissertation
A hybrid clonal selection algorithm with conflict based ststistics for university course timetabling
Salisu Musa Borodo
- 01 Jan 2013
TL;DR: The experimental results showed the Hybrid CLONalG-CBS fared better than the manual method and CLONALG algorithm in timeslot utilization, room utilization, Lecture spread and objective function.
2
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