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DETECTION AND CLASSIFICATION OF CLEARANCE
ANOMALIES ON OVER-HEAD POWER LINES
by
Alberto Vale, João Gomes-Mota
Albatroz Engineering, Lisbon, Portugal
presented at
CONTROLO2006 - 7 thPortuguese Conference on Automatic Control
Lisbon, Portugal,11th-13th September 2006
Abstract
An on-the-fly solution is proposed to be carried on an aircraft used to inspect over-head power lines to find anomalies to the safety distances required for electrical power exploitation, yielding a significant contribution to hazard reduction and improving quality of service. The solution is based on laser range scanner and GPS used to measure distances and to create a 3D model of the environment around the line. The paper focuses
on the algorithms for data clustering, interpolation, heuristics, classification and anomaly
detection. Field results are shown.
Keywords
Solid-state lasers, Global Positioning Systems, Classification, Probabilistic
Risk Assessment, Safety, Power Lines, Airborne, LIDAR.