密封油泵设备故障维修分析数据

统计密封油泵故障设备维修记录数据，能直观反应出设备故障类型占比情况。所有使用密封油泵设备的车间/企业，根据不同故障类型分布，均可优化各驻点维修人员配置和预购配件的库存量，提高维修效率，降低运营成本。另外所有使用密封油泵设备的车间/企业也方便以后提升对密封油泵故障设备的维修能力。本数据来源于本企业各部门密封油泵的设备故障维修记录，将各天数数据进行整合，并运用数据透视表选择故障设备类别字段进行计数，把故障类型进行分类统计，全月故障总次数为各故障类型之和，按照各类型故障占比率=该类故障数/故障总数*100%，进行图表统计分析，利用饼图体现占比情况。所有使用密封油泵设备的车间/企业，根据不同故障类型分布，优化各驻点维修人员配置和预购配件的库存量，提高维修效率，降低运营成本。所有使用密封油泵设备的车间/企业也可以组织员工开展相关设备培训。

This dataset is compiled from maintenance records of faulty sealed oil pump equipment, which directly reflects the proportion of various equipment fault types. For all workshops and enterprises that use sealed oil pumps, they can optimize the allocation of on-site maintenance personnel and the inventory of pre-purchased spare parts based on the distribution of different fault types, thereby improving maintenance efficiency and reducing operating costs. In addition, all workshops and enterprises using sealed oil pumps can also help themselves enhance their maintenance capabilities for faulty sealed oil pump equipment in the future. This data is sourced from the equipment fault maintenance records of sealed oil pumps in various departments of our enterprise. We consolidate daily maintenance data, use a pivot table to count the records under each fault equipment category, classify and count the fault types. The total number of faults in the full month is the sum of the counts of each fault type. The proportion of each fault type is calculated as (number of faults of this type / total number of faults) × 100%, then conduct chart-based statistical analysis, and use a pie chart to visualize the proportion distribution. All workshops and enterprises using sealed oil pumps can optimize the allocation of on-site maintenance personnel and the inventory of pre-purchased spare parts based on the distribution of different fault types, improve maintenance efficiency and reduce operating costs. Additionally, they can also organize employee training related to this type of equipment.