计算机工程与应用2019，Vol.55Issue(12)：245-249,264,6.DOI:10.3778/j.issn.1002-8331.1804-0043
变分自编码器在机械故障预警中的应用
Application of Variational Auto-Encoder in Mechanical Fault Early Warning
摘要
Abstract
Due to vibration signals’non-stationary characteristic of complex machinery such as reciprocating compressor and aeroengine, the single feature threshold alarm method frequently utilized at present has shortage of inaccurate alarm. For this reason, a variational auto-encoder-based method for fault early warning is proposed according to the response signals’characteristics of mechanical response point. The method is based on high-dimensional feature parameters of the mechanical vibration signals. It is used to self-learn the statistical distribution model of high-dimensional features by varia-tional auto-encoder, and the normal working condition model is used as a benchmark model. The fault early warning is realized by comparing the difference between real-time working condition model and benchmark model with the adaptive early warning threshold. The advantages of proposed method are verified by comparing with the single feature threshold alarm method and the state subspace-based early warning method. The results demonstrate that the method can improve the accuracy of mechanical fault early warning and greatly advance the alarm time point of the fault. It has high timeliness and strong adaptability.关键词
变分自编码器/机械/故障预警/统计分布Key words
variational auto-encoder/ machinery/ fault early warning/ statistical distribution分类
机械制造引用本文复制引用
马波,赵祎,齐良才..变分自编码器在机械故障预警中的应用[J].计算机工程与应用,2019,55(12):245-249,264,6.基金项目
国家自然科学基金(No.51135001) （No.51135001）
国家质量基础的共性技术研究与应用项目(No.2016YFF0203303) （No.2016YFF0203303）
压缩机技术国家重点实验室开放基金项目. （）
