Mine cable state maintenance method based on information fusio
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摘要: 针对矿用电缆单一参数在线监测方法准确度低、多参数监测方法未根据专家经验进行权重分配并进行信息融合等问题,提出了基于信息融合的矿用电缆状态检修方法。通过多个分布式传感器实时监测电缆运行时的表面温度、护套接地电流、局部放电量,根据模糊理论对多源信息进行初步融合诊断,将融合结果作为D-S证据理论的识别框架和证据体;根据专家经验确定各运行参数的权重,结合初步诊断结果,确定证据理论的合理信度函数分配值,根据信度最大准则判断被测电缆的工作状态。实例分析结果验证了该方法能有效融合处理矿用电缆的多源信息,提高故障诊断的准确性。Abstract: In view of problems of low accuracy of online monitoring method of mine cable using single parameter, and that monitoring method using multi-parameter does not carry out weight distribution and information fusion based on expert experience, a mine cable state maintenance method based on information fusion was proposed. Distributed sensors are used to real-timely monitor surface temperature, grounding current of cable sheath and partial discharge during cable operation. Preliminary fusion diagnosis for multi-source information is carried out according to fuzzy theory. The fusion results are used as identification framework and evidence body of D-S evidence theory.The weight of each operating parameter is determined based on expert experience, and reasonable reliability function allocation value of the evidence theory is determined combined with the preliminary diagnosis results, then the working state of the tested cable is judged according to the maximum reliability criterion. The example analysis result proves that the method can effectively integrate multi-source information of mine cable and improve accuracy of fault diagnosis.
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Keywords:
- mine cable /
- state maintenance /
- fault diagnosis /
- information fusion /
- fuzzy theory /
- D-S evidence theory
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期刊类型引用(9)
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