基于免疫Agent的风力发电机组故障自愈系统的研究

以风力发电机组为研究对象,将Multi-Agent技术与故障自愈的原理结合,并引入人工免疫的思想,以故障的消除和抑制为目的,探讨一种新型的具有自身免疫能力的智能自愈理论和方法研究。采用Multi-Agent技术、人工免疫原理和专家系统等混合智能技术构建故障自愈免疫系统的结构模型,阐述了基于免疫agent的风力发电机组故障自愈系统的组织结构和诊断流程。该系统具有可扩充性、诊断资源的可重用性、诊断过程的自主性等,为机电装备故障诊断和自愈提供了一种新思路。

Study of fault self-healing system for wind turbine based on immune-agent

With wind turbin as a study case and importing the thought of artificial immune,combining with immune agent with fault self-healing,a new type intelligent self-healing theory and method with autoimune is researched in order to eliminate and control the faults.By adopting compound intelligent technology like Multi-Agent technology, artificial immune theory and expert system,a structural model for fault self-healing and immuning system is established.Then the composition and diagnosis flow of the faults self-healing system of the wind turbine are expatiated.With advantages of good scalability,diagnosis process autonomy and diagnosis resources reusability,the system provides a new idea for fault diagnosis and self-healing of the equipment.