Artificial intelligence in electrostatic risk management

作者：Gulyas Attila^*; Kiss Istvan; Berta Istvan

来源：Journal of Electrostatics, 2013, 71(3): 387-391.

DOI：10.1016/j.elstat.2012.12.010

• Risk management
• Hazard management
• SCOUT system
• Artificial intelligence
• Support vector machines

In the last two decades protection against electrostatic hazards became a very important topic. The increase in the range of possible faults fast automated systems and complex fault analysis is required. %26lt;br%26gt;The tools of artificial intelligence and expert systems have been applied successfully on this field and this paper aims to take a step further. While giving some insight to the currently used tools, another Al method, the %26apos;support vector machines%26apos; are introduced in this paper. Besides a brief review on SVMs they are introduced to the SCOUT system, a novel approach to electrostatic hazard management.

• 出版日期2013-6