Fault Diagnosis of Centrifugal Compressor Based on Ontology

doi:10.12422/j.issn.1672-6952.2025.03.010

Abstract

Abstract:

Centrifugal compressors are key equipment in the natural gas pipeline network of the petrochemical industry, and their high failure rate can cause significant economic losses to the affiliated enterprises. This article proposes an ontology based fault diagnosis method for centrifugal compressors. Firstly, this method takes the centrifugal compressor fault analysis reports accumulated by petrochemical enterprises as the knowledge source, extracts fault diagnosis knowledge from the knowledge source through ontology modeling, and promotes the integration, sharing, and reuse of fault diagnosis knowledge. Then, a fault diagnosis knowledge base was constructed using the ontology software Protégé, and rule?based reasoning (RBR) was implemented using the Semantic Web Rule Language (SWRL). The knowledge was stored and queried using the software Neo4j. The effectiveness of this fault diagnosis method has been confirmed through testing the oil system composed of centrifugal compressors. The results show that this method improves the application efficiency of fault knowledge and provides a high?quality knowledge foundation for the diagnosis and decision?making of centrifugal compressors.

Key words: Centrifugal compressor, Fault diagnosis, Ontology, Rule?Based Reasoning（RBR）

摘要：

离心式压缩机是石油化工行业天然气管网的关键设备，其高故障率对所属企业会造成较大的经济损失。提出了一种基于本体的离心式压缩机故障诊断方法。首先，以石油化工企业积累的离心式压缩机故障分析报告为知识源，通过本体建模从知识源中提取故障诊断知识，促进故障诊断知识的集成、共享和重用；然后，使用本体软件Protégé构建故障诊断知识库，通过语义Web规则语言SWRL（Semantic Web Rule Language）实现基于规则的推理（Rule?Based Reasoning，RBR），并通过软件Neo4j进行知识存储和查询。采用该故障诊断方法，对离心式压缩机组合成油系统进行了测试。结果表明，该故障诊断方法有效，可提升故障知识的应用效率，并为离心式压缩机诊断决策提供优质的知识基础。

关键词: 离心式压缩机, 故障诊断, 本体, 基于规则的推理

CLC Number:

TE974

Xinxin ZHOU, Ruixin BAO, Xiangguang SUN, Yuanzhong QIN. Fault Diagnosis of Centrifugal Compressor Based on Ontology[J]. Journal of Liaoning Petrochemical University, 2025, 45(3): 72-81.

周新新, 包瑞新, 孙祥广, 秦远中. 基于本体的离心式压缩机故障诊断[J]. 辽宁石油化工大学学报, 2025, 45(3): 72-81.

Figures/Tables 9

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对象属性	定义域	值域
hasTime	CompressorFaultCase	OccurenceTime
hasStation	CompressorFaultCase	StationName
hasProcess	CompressorFaultCase	TroubleShootingProcess
hasCause	CompressorFaultCase	FaultCause
hasConclusion	CompressorFaultCase	FaultConclusion
hasSymptom	CompressorFaultCase	FaultSymptom
hasSolution	CompressorFaultCase	EmergencyMeasures
hasConsumption	CompressorFaultCase	SparePartComponent
happenComponent	CompressorFaultCase	FaultComponent
belongTo	FaultComponent	SymptomSubSystem
hasSystemSymptom	SymptomSubSystem	FaultSymptom

对象属性	定义域	值域
hasTime	CompressorFaultCase	OccurenceTime
hasStation	CompressorFaultCase	StationName
hasProcess	CompressorFaultCase	TroubleShootingProcess
hasCause	CompressorFaultCase	FaultCause
hasConclusion	CompressorFaultCase	FaultConclusion
hasSymptom	CompressorFaultCase	FaultSymptom
hasSolution	CompressorFaultCase	EmergencyMeasures
hasConsumption	CompressorFaultCase	SparePartComponent
happenComponent	CompressorFaultCase	FaultComponent
belongTo	FaultComponent	SymptomSubSystem
hasSystemSymptom	SymptomSubSystem	FaultSymptom

编号	规则
规则1	CompressorFaultCase(?x),hasTime(?x,?y),OccurrenceTime(?y),hasStation(?x,?z),StationName(?z)->bePartOf(?y,?x),OccurrenceTime(?y),bePartOf(?z,?x),StationName(?z)
规则2	CompressorFaultCase(?x),hasProcess(?x,?y),TroubleShootingProcess(?y),hasSymptom(?x,?z),FaultSymptom(?z)->bePartOf(?y,?x),hasSymptomProcess(?z,?y)
规则3	CompressorFaultCase(?x),hasSymptom(?x,?y),FaultSymptom(?y),hasSolution(?x,?z),EmergencyMeasures(?z)->bePartOf(?y,?x),bePartOf(?z,?x),hasSymptomSolution(?y,?z)
规则4	CompressorFaultCase(?x),hasCause(?x,?y),FaultCause(?y),hasProcess(?x,?z),TroubleShootingProcess(?z)->bePartOf(?y,?x),hasProcessCause(?z,?y)
规则5	CompressorFaultCase(?x),hasConclusion(?x,?y),FaultConclusion(?y),hasCause(?x,?z),FaultCause(?z)->bePartOf(?y,?x),hasCauseConclusion(?z,?y)
规则6	CompressorFaultCase(?x),hasConsumption(?x,?y),SparePartConsumption(?y),hasConclusion(?x,?z),FaultConclusion(?z)->bePartOf(?y,?x),hasConclusionConsumption(?z,?y)
规则7	CompressorFaultCase(?x),happenComponent(?x,?y),FaultComponent(?y),hasConclusion(?x,?z),FaultConclusion(?z)->bePartOf(?y,?x),hasConclusionComponent(?z,?y)
规则8	FaultComponent(?x),belongTo(?x,?y),SymptomSubSystem(?y)->hasSystemComponent(?y,?x)

编号	规则
规则1	CompressorFaultCase(?x),hasTime(?x,?y),OccurrenceTime(?y),hasStation(?x,?z),StationName(?z)->bePartOf(?y,?x),OccurrenceTime(?y),bePartOf(?z,?x),StationName(?z)
规则2	CompressorFaultCase(?x),hasProcess(?x,?y),TroubleShootingProcess(?y),hasSymptom(?x,?z),FaultSymptom(?z)->bePartOf(?y,?x),hasSymptomProcess(?z,?y)
规则3	CompressorFaultCase(?x),hasSymptom(?x,?y),FaultSymptom(?y),hasSolution(?x,?z),EmergencyMeasures(?z)->bePartOf(?y,?x),bePartOf(?z,?x),hasSymptomSolution(?y,?z)
规则4	CompressorFaultCase(?x),hasCause(?x,?y),FaultCause(?y),hasProcess(?x,?z),TroubleShootingProcess(?z)->bePartOf(?y,?x),hasProcessCause(?z,?y)
规则5	CompressorFaultCase(?x),hasConclusion(?x,?y),FaultConclusion(?y),hasCause(?x,?z),FaultCause(?z)->bePartOf(?y,?x),hasCauseConclusion(?z,?y)
规则6	CompressorFaultCase(?x),hasConsumption(?x,?y),SparePartConsumption(?y),hasConclusion(?x,?z),FaultConclusion(?z)->bePartOf(?y,?x),hasConclusionConsumption(?z,?y)
规则7	CompressorFaultCase(?x),happenComponent(?x,?y),FaultComponent(?y),hasConclusion(?x,?z),FaultConclusion(?z)->bePartOf(?y,?x),hasConclusionComponent(?z,?y)
规则8	FaultComponent(?x),belongTo(?x,?y),SymptomSubSystem(?y)->hasSystemComponent(?y,?x)

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