马波;赵雨薇;董玉琼;
MA Bo;ZHAO Yu-wei;DONG Yu-qiong;Diagnosis and Self-Recovery Engineering Research Center,Beijing University of Chemical Technology;

• 1:北京化工大学诊断与自愈工程研究中心

摘要(Abstract)：

支撑环是往复压缩机的关键部件及主要易损件,其可靠性必然会影响整个设备的稳定性和利用率。为了有效的识别支撑环的磨损状态,减少维修的不确定性,保证其长周期安全运行,提出一种基于多维信息的支撑环多变量可靠性评估方法。采用距离评估技术优选支撑环运行状态的敏感特征指标,构造多重协变量函数,结合历史更换记录和运行状态信息,建立支撑环比例协变量可靠性评估模型。利用该模型对某石化企业往复压缩机支撑环磨损监测数据进行评估,通过特征优选构造支撑环多重响应协变量函数,将重要运行状态信息引入到可靠性分析当中,准确地实现对支撑环的可靠性评估。
Supporting ring is one of the critical wearing parts of reciprocating compressor,thus its reliability plays an important role to the stability and utilization rate of the equipment. To identify the wear state of support ring effectively,a multivariate reliability estimation method for support ring based on multidimensional information is proposed to reduce maintenance uncertainties and also to guarantee the operation safety in a long term. Employ Distance evaluation to optimize sensitive response covariates reflecting the support ring operation state,structure multiple covariates function and combine with equipment response condition information,a reliability assessment model of Proportional Covariate Model( PCM) for support ring is established. Make use of this model to estimate reliability of a reciprocating compressor from petrochemical enterprise by using support ring wear data measured,structure support ring multiple covariates function through characteristics optimization and bring equipment operation condition information into reliability analysis,then accurately realize the reliability evaluation of support ring.

关键词(KeyWords)： 多变量;比例协变量模型;支撑环;可靠性评估;往复压缩机
multivariate;proportional covariate model;support ring;reliability estimation;reciprocating compressor

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51135001);; 国家重点基础研究发展计划资助项目(“973”计划,2012CB026000)

作者(Authors): 马波;赵雨薇;董玉琼;
MA Bo;ZHAO Yu-wei;DONG Yu-qiong;Diagnosis and Self-Recovery Engineering Research Center,Beijing University of Chemical Technology;

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