Self-Diagnostic technology is a crucial method for improving the reliability, availability and maintainability of a computing system. It aims to make the computing system own the ability of monitoring its states, recognizing and locating the faults without manual operations. Based on the finite state machine model and the fault model, this paper proposes a new Self-Diagnostic model and a method for building this model. The states of the computing system are described via the values resulted from the system key point monitoring units, while the fault types through the fault eigenvectors, and then the associated attributes among diverse fault types are analyzed and the relevant fault model is constructed in order to make the computing system diagnose itself automatically through recognizing and locating the faults. The method and model we proposed is meaningful for improving the reliability and Self- Diagnosticability of a computing system.%自诊断(Self-Diagnostic)技术旨在使计算系统具备在无需人为干涉的情况下监控自身状态、识别并定位故障的能力,是提高计算系统可靠性和可维护性的重要方法;基于有限状态机模型和故障模型,提出了一种新的系统自诊断模型及其建模方法,利用系统关键点检测单元和故障特征向量的方法分别描述系统状态和故障类型,分析不同故障类型间的关联属性并建立相应的故障模型,使得系统能够准确识别自身正/异常状态,对可能出现的故障进行准确识别和定位,在复杂故障环境下同样具备良好的诊断能力;对于提高系统可靠性、建立具备较高自诊断能力的计算系统具有重要意义.
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