故障诊断Agent研究

Study on Diagnosis Agent

设备故障诊断技术在现代社会的应用越来越广泛 ,其应用对象多处于动态多变环境。现有的诊断软件尚不能适应这样的复杂环境。智能 agent是目前人工智能领域的研究热点之一。随着网络技术的成熟 ,实用型的智能 agent系统越来越多地应用于各个领域。本文根据故障诊断系统的实际要求 ,提出并初步实现了基于 agent的故障诊断系统。这进一步提高了诊断系统的自动化程度 ,较好地解决了诊断软件的通用性和适应性之间的矛盾。本文提出的诊断 agent系统能很方便地应用于各种网络环境 ,从而可以更充分地利用已有的诊断资源 ,便于构造大型诊断系统。

Device fault diagnosis technology is widely used in nowaday world. The objects of such systems are usually under constant and dynamic conditions. The present diagnosis software can not fit this complex environment. The intelligent agent is a hotspot of AI research in the past several years, and it will be utilized in many domains as the computer network technology matures. Based on the practical demand of fault diagnosis system, this paper proposes an agent-based fault diagnosis system, which is partially realized in laboratory. By this way, the versatility and the adaptability of the diagnosis software are guaranteed at the same time. This system can be utilized easily in Internet. By proper adjustment, the available resource can be accommodated into the system, making it passible to construct large-scale diagnosis system.