Application of fuzzy logic based expert system in preventive lightning protection

Preventive lightning protection (PLP) deals with situations, when risk of injury or damage caused by lightning strike is prevented not by primary or secondary lightning protection, but by the information of preventive measures. This paper represents, how an expert system can be used to help decision making to select appropriate measures in preventive protection. The system is used to approximate the relationship between the collected data and the actual risk level, the time after a risk reaches the critical limit, the speed of change of risk. The paper presents an example with different situations where the described method improves the prevention time.