Research on the Fault Diagnosis of Compressor Based on the SDG Method

NIE Yin-yan; LIN Xiao-huan

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Research on the Fault Diagnosis of Compressor Based on the SDG Method

更新时间：2026-09-04

- Research on the Fault Diagnosis of Compressor Based on the SDG Method
- Vol. 30, Issue 3, Pages: 140-142(2013)
- 作者机构：
  
  西安工程大学机构电子信息学院,陕西,西安,710043
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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聂银燕, 林晓焕. 基于SDG的压缩机故障诊断方法研究[J]. 微电子学与计算机, 2013, 30(3): 140-142,147.

NIE Yin-yan, LIN Xiao-huan. Research on the Fault Diagnosis of Compressor Based on the SDG Method[J]. 2013, 30(3): 140-142.
聂银燕, 林晓焕. 基于SDG的压缩机故障诊断方法研究[J]. 微电子学与计算机, 2013, 30(3): 140-142,147. DOI：

NIE Yin-yan, LIN Xiao-huan. Research on the Fault Diagnosis of Compressor Based on the SDG Method[J]. 2013, 30(3): 140-142. DOI：

摘要

SDG (Signed Directed Graph)是一种重要的定性建模技术.基于符号有向图(SDG)的故障诊断是故障诊断领域中的一个重要研究方向

具有很大的应用和发展前景.本文针对往复式压缩机

提出了一个综合性SDG故障诊断架构.该综合性故障诊断架构采用基于经验知识的建模方法

引入分级SDG建模的思想和基于假设-验证的双向推理方法.研究表明

该方法具有较强的故障诊断能力.

Abstract

SDG is an important technology of building qualitative model.The signed directed graph(SDG) is an important research branch of the fault diagnosis field

with a lot of application and development prospect.For the reciprocating compressor

this paper puts forward a comprehensive SDG fault diagnosis structure.The comprehensive fault diagnosis structure takes the modeling method based on the experience knowledge

introduces the idea of hierarchical modeling and the bidirectional inference method based on assumptions-verification.The research shows that this method has strong ability of fault diagnosis.

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