北京科技大学学报Issue(10)：1361-1368,8.DOI:10.13374/j.issn1001-053x.2014.10.013
基于Wiener过程的钢厂风机剩余使用寿命实时预测
Wiener process-based online prediction method of remaining useful life for draught fans in steel mills
摘要
Abstract
As a crucial device of steel mills, the draught fan plays a key role in converter dedusting and gas recycling, and thus it is significantly essential to predict the remaining useful life (RUL) of the draught fan. In this paper, a Wiener process-based degradation model is constructed based on vibration data analysis for a draught fan in the Handan steel mill. An analytical expression of the probability density function (PDF) of RUL is derived on the concept of the first hitting time (FHT). A parameter updating scheme is deduced on the basis of the maximum likelihood estimation (MLE) algorithm for the RUL online prediction of the draught fan. Comparative studies with existing models show that the proposed method can predict the RUL of the draught fan in real time with a higher accuracy and less uncertainties.关键词
炼钢厂/风机/使用寿命/预测方法/Wiener过程Key words
steel mills/draught fans/useful life/prediction method/Wiener processes分类
信息技术与安全科学引用本文复制引用
王兆强,胡昌华,王文彬,董广静..基于Wiener过程的钢厂风机剩余使用寿命实时预测[J].北京科技大学学报,2014,(10):1361-1368,8.基金项目
国家自然科学基金重点资助项目(71231001)和国家杰出青年基金资助项目(61025014) （71231001）
