机械设备运行故障预测方法综述

Surveyon Fault Prognostic Approaches of Mechanical Equipments

介绍了基于设备运行状态的故障预测方法,将基于设备运行状态的故障预测与维护过程归纳为数据获取、数据处理和设备剩余寿命预测三个步骤。从传感器检测的时间间隔和传感器的使用数量等方面阐述了数据的获取方法。归纳介绍了目前国内外常见的数据处理和分析技术。介绍了设备故障诊断、预测和有效寿命预测技术中常见的统计方法、人工智能方法和基于模型的预测方法。

The occurrence of mechanical equipment fault is inevitable. To reduce failure time and fault maintainance times of equipment, this paper introduced equipment operation condition based fault prognostic approach, and categorized the equipment fault prognosis based process into three steps： data aquisition, data process and equipment remain life prognosis. To gurantee the accurancy and comprehensiveness of the equipment operation condition monitoring data, this paper introduced the data aquisition approach from the aspect of sensor inspection time interval and sensor number; concluded the frequently applied data process and analysis technology over the world; introduced the frequently applied statistical approach, artificial intelligent approach and model based prognostic approach of equipment remain life prognositic technology.