Object-oriented model-based reasoning for diagnosing automated manufacturing systems

D.I. Kerpelman
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引用次数: 1

Abstract

In automated manufacturing, availability is the percentage of time that a production system is functioning properly. The author addresses the problems of availability by exploring the feasibility of a class of diagnosis algorithm. To develop this approach, a range of theory used in other areas was surveyed and synthesized. Petri net analysis was applied to fault detection. Rule-based inference and model-based reasoning were applied to failure isolation and hypothesis validation. A large part of the effort was the use of object-oriented software engineering to integrate the pieces into a unified algorithm. A software system was developed to realize the advanced algorithm and applied to a case study manufacturing subsystem for evaluation and analysis.<>
基于面向对象模型的自动化制造系统诊断推理
在自动化制造中,可用性是生产系统正常运行的时间百分比。作者通过探索一类诊断算法的可行性来解决可用性问题。为了开发这种方法,对其他领域使用的一系列理论进行了调查和综合。将Petri网分析应用于故障检测。将基于规则的推理和基于模型的推理应用于故障隔离和假设验证。大部分工作是使用面向对象的软件工程将各个部分集成到一个统一的算法中。开发了一套软件系统来实现该算法,并将其应用于制造子系统的实例分析中进行了评价和分析
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