基于定性仿真和模糊知识的离心式压缩机排气量不足原因诊断

陆云松; 王福利; 贾明兴

doi:10.16383/j.aas.2015.c150117

基于定性仿真和模糊知识的离心式压缩机排气量不足原因诊断

doi: 10.16383/j.aas.2015.c150117

陆云松^1, ,,
王福利^1,2,
贾明兴^1,2

1.
东北大学信息科学与工程学院沈阳 110819;
2.
流程工业综合自动化国家重点实验室(东北大学) 沈阳 110819

基金项目:

国家自然科学基金(61374146,61174130,61374147,61304121),流程工业综合自动化国家重点实验室基础科研业务费(2013ZCX02-04),国家科技支撑计划项目(2013BAK02B01-02),辽宁省科技计划项目(2013231025)资助

详细信息

作者简介:
王福利东北大学教授.主要研究方向为复杂工业过程建模、控制与优化,工业过程监测、质量预报与故障诊断.E-mail:wangfuli@ise.neu.edu.cn

贾明兴东北大学教授.主要研究方向为复杂工业过程建模、控制与优化,过程监测与故障诊断.E-mail:jiamingxing@ise.neu.edu.cn

通讯作者:
陆云松东北大学博士研究生.主要研究方向为复杂工业过程监测与故障诊断.本文通信作者.E-mail:yunsonglu@126.com

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出版历程
- 收稿日期: 2015-03-11
- 修回日期: 2015-07-07
- 刊出日期: 2015-11-20

Qualitative Simulation and Fuzzy Knowledge Based Fault Diagnosis of Centrifugal Compressor Insufficient Discharge

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819;
2.
State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang 110819

Funds:

Supported by National Natural Science Foundation of China (61374146, 61174130, 61374147, 61304121), Stat Key Laboratory of Synthetical Automation for Process Industries Fundamental Research Funds (2013ZCX02-04), Key Projects in the National Science and Technology Pillar Program during the Twelfth Five-year Plan Period (2013BAK02B01-02), and Science and Technology Plan of Liaoning Province (2013231025)

摘要

摘要: 针对引起离心式压缩机排气量不足的原因,本文提出一种基于定性仿真和模糊知识的诊断方法.利用压缩机结构原理和故障机理等定性知识建立故障定性模型库,并推理得到压缩机排气量受不同因素影响时的定性规则库.对系统变量的观测值利用定性趋势提取和模糊化进行定性化处理.提出了基于变量定性趋势和模糊定性值约束的滑动窗口加权匹配策略,并根据匹配结果诊断出导致排气量不足的原因.最后通过两个实例仿真验证了所提方法的有效性.
- 定性仿真 /
- 模糊知识 /
- 故障诊断 /
- 离心式压缩机 /
- 排气量不足
Abstract: In order to diagnose the causes of insufficient discharge of centrifugal compressor, a qualitative simulation and fuzzy knowledge based diagnosis method is proposed in this paper. Qualitative models are built according to the qualitative knowledge derived from structure principle and faults mechanism of the centrifugal compressor, and a qualitative rules library is obtained by inference to describe how the discharge flow is influenced by various factors. The online observations of variables are qualitatively processed by qualitative trends extraction and fuzzy approach. A weighted sliding window match strategy based on variables' qualitative trends and fuzzy qualitative value constraint is proposed for qualitative state matching, and the matching results is used to diagnose the reason of insufficient discharge of the compressor. Finally, the effectiveness of the proposed method is verified through simulation of two fault conditions.
- Qualitative simulation /
- fuzzy knowledge /
- fault diagnosis /
- centrifugal compressor /
- insufficient discharge

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参考文献(16)

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