提出了复杂矿冶设备群监测与故障诊断数据质量保障系统的控制方法,其核心是对该测量系统的产品——数据进行定性与定量相结合的方法进行评估,并给出了重复性与再现性等重要评定准则。若不满足要求,就进一步分析测量系统的显著变异源,并对其采取系统改进或预防,实现从源头上保障设备故障诊断数据质量的可靠性。实例验证表明,该方法可以为数据质量保障提供一种解决途径,对复杂矿冶设备群故障诊断奠定了良好的基础。 The control method of data quality assurance system for complex mining and metallurgy equipment group monitoring and fault diagnosis is put forward. The core of this method is to evaluate the method of combining the qualitative and quantitative data of the measuring system with the data of repetition and reproduction Sex and other important criteria for assessment. If it does not meet the requirements, we will further analyze the significant sources of variation in the measurement system and take systematic improvements or preventions to ensure the reliability of the quality of the equipment fault diagnosis data from the source. The example verification shows that this method can provide a solution for the data quality assurance and lays a good foundation for the complex fault diagnosis of mining and metallurgy equipment.