计算机科学 ›› 2023, Vol. 50 ›› Issue (5): 82-92.doi: 10.11896/jsjkx.221100160
董家祥, 翟纪宇, 马昕, 沈磊贤, 张力
DONG Jiaxiang, ZHAI Jiyu, MA Xin, SHEN Leixian, ZHANG Li
摘要: 随着社会经济的快速发展,现代工业逐渐呈现出研究对象复杂化、应用手段信息化和生产方式多元化的发展趋势。机械故障诊断作为现代工业重要的研究领域之一,由于故障机理研究不足和可参考知识匮乏等问题,仍然存在一系列技术瓶颈。为应对上述问题,文中提出了知识驱动的机械设备故障诊断方案,主要包括知识构建和诊断流程两个部分。在知识构建方面,提出了领域知识图谱构建方法;在诊断流程方面,设计了一个通用的机械设备故障诊断流程,该流程包括故障问诊、故障定位、起因定位和故障维修指导4个步骤。目前,该方案已经在国内某大型挖掘机维修商实际落地应用,并对其进行了有效性验证,实验结果表明该方案提高了挖掘机故障诊断领域的知识化程度和智能化水平,并表现出了较高的准确性和实用性,后续将在工业界持续推广使用。
中图分类号:
[1]LI Q Y.Engineering machinery(2nd edition)[M].Changsha:Central South University Press,2012:12-14. [2]LI J G,ZHANG J,GU Y.Mechanical fault diagnosis[M].Beijing:Chemical Industry Press,1999:23-25. [3]WANG G B,HE Z J,CHEN X F,et al.Basic research on machinery fault diagnosism what is the prescription[J].Journal of Mechanical Engineering,2013,49(1):63-72. [4]JI S,PAN S,CAMBRIA E,et al.A survey on knowledgegraphs:Representation,acquisition,and applications[J].IEEE Transactions on Neural Networks and Learning Systems,2021,33(2):494-514. [5]WANG H F,QI G L,CHEN H J.Knowledge graph:methods,practices and applications[M].Beijing:Electronic Industry Press,2020:56-67. [6]HOGAN A,BLOMQVIST E,COCHEZ M,et al.Knowledgegraphs[J].ACM Computing Surveys(CSUR),2021,54(4):1-37. [7]SHADBOLT N,BERNERS-LEE T,HALL W.The semanticweb revisited[J].IEEE Intelligent Systems,2006,21(3):96-101. [8]LI C,LI A,WANG Y,et al.A survey on approaches and applications of knowledge representation learning[C]//2020 IEEE Fifth International Conference on Data Science in Cyberspace(DSC).New York:IEEE Press,2020:312-319. [9]LENAT D B,PRAKASH M,SHEPHERD M.CYC:Using com-mon sense knowledge to overcome brittleness and knowledge acquisition bottlenecks[J].AI Magazine,1985,6(4):65-65. [10]MILLER G A.WordNet:a lexical database for English[J].Communications of the ACM,1995,38(11):39-41. [11]LIU H,SINGH P.ConceptNet-a practical commonsense rea-soning tool-kit[J].BT Technology Journal,2004,22(4):211-226. [12]BOLLACKER K,COOK R,TUFTS P.Freebase:a shared database of structured general human knowledge[C]//Proceedings of the 22nd National Conference on Artificial ntelligence.Menlo Park,CA:AAAI,2007:1962-1963. [13]VRANDEČIĆ D,KRÖTZSCH M.Wikidata:a free collaborative knowledgebase[J].Communications of the ACM,2014,57(10):78-85. [14]WANG H,DING T Y,BROWN J L,et al.Data Driven Fault Diagnosis and Fault Tolerant Control:Some Advances and Possible New Directions[J].Acta Automatica Sinica,2009,35(6):739-747. [15]GAO Z,CECATI C,DING S X.A survey of fault diagnosis and fault-tolerant techniques-Part I:Fault diagnosis with model-based and signal-based approaches[J].IEEE Transactions on Industrial Electronics,2015,62(6):3757-3767. [16]BEARD R V.Failure accomodation in linear systems throughself-reorganization[D].Cambridge:Massachusetts Institute of Technology,1971. [17]DADON I,KOREN N,KLEIN R,et al.A realistic dynamicmodel for gear fault diagnosis[J].Engineering Failure Analysis,2018,84:77-100. [18]YANG G,YU S.Construction Research ofDiagnostic Know-ledge Base Based on Decision Technology and RS Theory[C]//Recent Developments in Intelligent Computing,Communication and Devices(ICCD 2017).Singapore:Springer 2019:311-323. [19]ASKIN R G,DROR M,VAKHARIA A J.Printed circuitboardfamily grouping and component allocation for a multimachine,open-shop assembly cell[J].Naval Research Logistics(NRL),1994,41(5):587-608. [20]COSTAMAGNA P,DE GIORGI A,MOSER G,et al.Data-dri-ven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells[J].Energy Conversion and Ma-nagement,2019,180:281-291. [21]NOY N F,MCGUINNESS D L.Ontology development 101:A guide to creating your first ontology[J].Stanford Knowledge Systems Laboratory Technical Report KSL-01-05,2001(5):1-33. [22]Neo4j.(2021)[EB/OL].http://www.neo4j.com. [23]GOU J,JIANG Y,WU Y,et al.A New Knowledge FusionMethod Based on Semantic Rules[C]//2006 8th International Conference on Signal Processing.New York:IEEE Press,2006:3. [24]RISTAD E S,YIANILOS P N.Learning string-edit distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(5):522-532. [25]SADOWSKI C,LEVIN G.Simhash:Hash-based similarity detection[R].Santa Cruz:University of California,2011. [26]MIKOLOV T,CHEN K,CORRADO G,et al.Efficient estimation of word representations in vector space[J].arXiv:1301.3781,2013. [27]DEVLIN J,CHANG M W,LEE K,et al.Bert:Pre-training of deep bidirectional transformers for language understanding[J].arXiv:1810.04805,2018. [28]BORDES A,USUNIER N,GARCIA-DURAN A,et al.Translating embeddings for modeling multi-relational data[C]//Advances in Neural Information Processing Systems.Cambridge,MA:MIT Press,2013:2787-2795. [29]CARD S K,MORAN T P,NEWELLA.The keystroke-levelmodel for user performance time with interactive systems[J].Communications of the ACM,1980,23(7):396-410. |
|