This paper presents a new parallel relative diagnosis model (PRDM) for turbo generator sets.
提出了一种新的汽轮发电机组故障诊断模型-并行关联诊断模型(PRDM)。
With the increasing scale of the parallel connected inverters system, new requests of fault diagnosis are put forward by power supply systems.
随着逆变器并联系统规模的增大，电源系统对故障诊断提出了新的要求。
Focused on fault diagnosis, a grey fusion method and a fuzzy fusion method are proposed based on data fusion and criteria fusion. Then the parallel decision fusion model is presented.
针对故障诊断过程，在数据融合与规则融合基础上，提出了灰色融合和模糊融合两种信息融合方法，并给出了并行决策融合模型。
The parallel combined intelligent reasoning can be closer to human thinking model and improve the intelligent level of device status on-line monitoring and diagnosis.
并行组合的智能化推理更能接近人类的思维模式，进一步提高设备状态在线监测诊断的智能化水平。
The formalized algorithm of diagnosis reasoning to enhance the parallel reasoning ability is given.
为提高诊断时的并行推理能力，给出了诊断推理的形式化算法。
The formalized algorithm of diagnosis reasoning to enhance the parallel reasoning ability is given.
为提高诊断时的并行推理能力，给出了诊断推理的形式化算法。
应用推荐