DocumentCode :
2378658
Title :
Anomaly Detection in Animal-Related Failures in Overhead Distribution Systems
Author :
Gui, Min ; Pahwa, Anil ; Das, Sanjoy
Author_Institution :
Kansas State Univ., Manhattan
fYear :
2007
fDate :
Sept. 30 2007-Oct. 2 2007
Firstpage :
498
Lastpage :
504
Abstract :
Occurrences of faults in overhead distribution systems are a significant factor in distribution system reliability. Analysis of animal-related failures has a practical value since animals cause large number of faults in overhead distribution systems. The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. This paper presents a method to apply anomaly detection in weekly animal-related failures in overhead distribution system. Detecting anomalous behavior in power distribution systems can be of much use for maintenance-related decision-making in electrical utility companies. A seminal contribution in anomaly detection is the V-detectors algorithm that can very effectively cover the nonself region of the feature space with a set of detectors. The detector set can be used to detect anomalous inputs. In this paper, procreating approaches to create an effective set of V-detectors is considered. The first phase of the algorithm generates an initial set of V-detectors. In subsequent phase, new detectors are grown from existing ones, by means of a mechanism called procreation. Procreating detectors can more effectively fill hard-to-reach interstices in the nonself region, resulting in better coverage. Simulation results indicate that this combined method detects more anomalies and displays better performance.
Keywords :
artificial immune systems; decision making; maintenance engineering; power distribution faults; power distribution lines; power distribution reliability; power overhead lines; V-detectors algorithm; animal-related failures; anomaly detection; artificial immune system approach; distribution system reliability; electrical utility companies; maintenance-related decision-making; overhead distribution system faults; power distribution system; procreation detectors; self-nonself discrimination; Animals; Artificial immune systems; Decision making; Detectors; Displays; Failure analysis; Phase detection; Power distribution; Power engineering and energy; Reliability engineering; Animal-related failures; Anomaly detection; Overhead distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Symposium, 2007. NAPS '07. 39th North American
Conference_Location :
Las Cruces, NM
Print_ISBN :
978-1-4244-1726-1
Electronic_ISBN :
978-1-4244-1726-1
Type :
conf
DOI :
10.1109/NAPS.2007.4402356
Filename :
4402356
Link To Document :
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