谢林,冯坤,张明

• 1:北京化工大学机电工程学院

摘要(Abstract)：

离心压缩机是石油化工生产中的核心动力设备,然而运行过程中易发生喘振故障造成事故。对于喘振故障,传统方法采用时频特征分析方法诊断,而该方法通常在喘振发展到后期、信号特征明显的情况下才诊断出喘振故障。为解决该问题,提出基于BP神经网络和证据理论的诊断方法,该方法使用故障数据训练得到BP神经网络,进而对采集的数据进行初步诊断,再采用证据理论融合各初步诊断结果得出诊断结论。通过在离心压缩机实验台上模拟喘振故障,结果表明:该方法能够准确诊断压缩机喘振故障,此外与传统方法相比,采用该方法能在喘振发生初期诊断出故障,从而进行调控避免喘振发展到后期,这对实现离心压缩机防喘具有重要意义。

关键词(KeyWords)： BP神经网络;信息融合;离心压缩机;故障诊断

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目《典型石化装置动设备检测监测与完整性评价技术》（2016YFF0203300）

作者(Author): 谢林,冯坤,张明

DOI: 10.19356/j.cnki.1001-3997.2020.01.039

参考文献(References)：

• [1]李英男.离心式压缩机的原理与喘振诊断[J].辽宁化工,2011,40(12):1268-1269.(Li Ying-nan.Principle and surge diagnosis of centrifugal compressor[J].Liaoning Chemical Industry,2011,40(12):1268-1269.)
• [2]Jin D,Hasemann H,Haupt U.The flow and rotation characteristics of a centrifugal compressor during surge[C].ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition,1994:V001T01A064.
• [3]Kurz R,White R C.Surge avoidance in gas compression systems[j].Journal of Turbomachinery,2004,126(4):501-5 06.
• [4]Alavinia S M,Khosrowjerdi M J,Sadrnia M A.An algebraic approach to fault detection for surge avoidance in turbo compressor[J].Journal of En-gineering for Gas Turbines&Power,2014,137(2):022601.
• [5]姜波.离心压缩机模型参数辨识与防喘控制研究[D].沈阳:东北大学,2011.(Jiang Bo.Researches on model parameters identification and anti-surge controlling of centrifugal comp ressor[D].Shenyang:Northeast University,2011.)
• [6]张明,江志农.基于多源信息融合的往复式压缩机故障诊断方法[J].机械工程学报,http://kns.cnki.net/kcms/detail/11.2187.TH.201703 09.1854.006.html(Zhang Ming,Jiang Zhi-nong.Reciprocating compressor fault diagnosis technology based on multi-source information fusion[J].Chinese Journal of Mechanical Engineering,http://kns.cnki.net/kcms/detail/11.2187.TH.20170309.1854.006.html)
• [7]陈兰春.离心式压缩机的喘振诊断研究[J].化学工程与装备,2013(1).(Chen Lan-chun.Study on surge diagnosis of centrifugal compressor[J].Chemical Engineering&Equipment,2013(1).)
• [8]毕德龙,张文振,王国欣.离心压缩机旋转失速测试诊断与故障研究[J].风机技术,2013(3):79-83.(Bi De-long,Zhang Wen-zhen,Wang Guo-xin.Testing diagnosis and fault research on rotating stall fault of centrifugal compressor[J].Compressor,Blower&Fan Technology,2013(3):79-83.)
• [9]赵岩.离心式压缩机常见故障分析及诊断方法[J].石油化工设备技术,2012,33(2):46-50.(Zhao Yan.Fault analysis and diagnosis method for centrifugal compressor[J].Petro-Chemical Equipment Technology,2012,33(2):46-5 0.)
• [10]孙涛,徐光华,张春梅.基于喘振频域特性的失稳预警技术研究[J].西安交通大学学报,2007,41(11):1321-1325.(Sun Tao,Xu Guang-hua,Zhang Chun-mei.Instability early warning based on frequency-domain characteristic surge[J].Journal of Xi'an Jiaotong University,2007,41(11):1321-1325.)
• [11]张熠卓,徐光华,梁霖.基于非线性流形学习的喘振监测技术研究[J].西安交通大学学报,2009,43(7):44-48.(Zhang Yi-zhuo,Xu Guang-hua,Liang Lin.Surge monitoring method based on nonlinear manifold learning[J].Journal of Xi'an Jiaotong University,2009,43(7):44-48.)