Mobile crane safe operation approach to prevent electrocution using fuzzy-set logic models

Abstract

Mobile cranes are involved in over 90% of crane accidents because their mobility increases risks over those faced by stationary cranes. Contact between crane and power lines is the most common cause of fatalities, with approximately 40% of all fatalities attributable to electrocution. Clear distance between cranes and energized power lines is a major factor in determining the likelihood of electrocution. Subjective judgment is commonly used to establish the relation between the clear distance and likelihood of fatal contacts. Hence, fuzzy modus ponens deduction techniques incorporating rotational and angular fuzzy-set models, which approximate subjective judgment, are introduced in this paper.