메뉴 건너뛰기




Volumn 2, Issue , 2013, Pages

Detecting broken reciprocating compressor valves in pV diagrams of different valve types

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSORS; FEATURE EXTRACTION; INTELLIGENT MATERIALS; INTELLIGENT SYSTEMS; STRUCTURAL HEALTH MONITORING;

EID: 84896360726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/SMASIS2013-3009     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 2
    • 33846072021 scopus 로고    scopus 로고
    • Automated condition classification of a reciprocating compressor using time-frequency analysis and an artificial neural network
    • Institute of Physics Publishing
    • Lin, Y.H., Wu, H.C., Wu, C.Y., 2006. Automated condition classification of a reciprocating compressor using time-frequency analysis and an artificial neural network. Institute of Physics Publishing, Smart Materials and Structures 15, 1576-1584.
    • (2006) Smart Materials and Structures , vol.15 , pp. 1576-1584
    • Lin, Y.H.1    Wu, H.C.2    Wu, C.Y.3
  • 3
    • 70350674128 scopus 로고    scopus 로고
    • Automated valve condition classification of a reciprocating compressor with seeded faults: Experimentation and validation of classification strategy
    • Institute of Physics Publishing
    • Lin, Y.H., Liu, H.S., Wu, C.Y., 2009. Automated valve condition classification of a reciprocating compressor with seeded faults: experimentation and validation of classification strategy. Institute of Physics Publishing, Smart Materials and Structures 18.
    • (2009) Smart Materials and Structures , vol.18
    • Lin, Y.H.1    Liu, H.S.2    Wu, C.Y.3
  • 4
    • 84856560632 scopus 로고    scopus 로고
    • Application of ANN in condition monitoring of a defective reciprocating air compressor
    • Tiwari, A., Yadav, P., 2008. Application of ANN in condition monitoring of a defective reciprocating air compressor. J. Instrum. Soc. India 38(1), 13-20.
    • (2008) J. Instrum. Soc. India , vol.38 , Issue.1 , pp. 13-20
    • Tiwari, A.1    Yadav, P.2
  • 5
    • 0034847699 scopus 로고    scopus 로고
    • Condition monitoring and fault detection of a compressor using signal processing techniques
    • Arlington, VA
    • Zhang, Y., Jiang, J., Flatley, M., Hill, B., 2001. Condition monitoring and fault detection of a compressor using signal processing techniques. Proceedings of the American Control Conference, Arlington, VA, 4460-4465.
    • (2001) Proceedings of the American Control Conference , pp. 4460-4465
    • Zhang, Y.1    Jiang, J.2    Flatley, M.3    Hill, B.4
  • 6
    • 78651536980 scopus 로고    scopus 로고
    • A combined practical approach to condition monitoring of reciprocating compressors using IAS and dynamic pressure
    • Elhaj, M., Almrabet, M., Rgeai, M., Ehtiwesh, I., 2010. A combined practical approach to condition monitoring of reciprocating compressors using IAS and dynamic pressure. World Academy of Science, Engineering and Technology 63, 186-192.
    • (2010) World Academy of Science, Engineering and Technology , vol.63 , pp. 186-192
    • Elhaj, M.1    Almrabet, M.2    Rgeai, M.3    Ehtiwesh, I.4
  • 10
    • 79955564733 scopus 로고    scopus 로고
    • Comparing parameter choice methods for regularization of ill-posed problems
    • Bauer, F., Lukas, M., 2011. Comparing parameter choice methods for regularization of ill-posed problems. Mathematics and Computers in Simulation. Vol. 81(9), 1795-1841.
    • (2011) Mathematics and Computers in Simulation , vol.81 , Issue.9 , pp. 1795-1841
    • Bauer, F.1    Lukas, M.2
  • 11
    • 77950638805 scopus 로고    scopus 로고
    • SparseFIS: Data-driven learning of fuzzy systems with sparsity constraints
    • Lughofer, E., Kindermann, S., 2010. SparseFIS: Data-driven learning of Fuzzy Systems with Sparsity Constraints, IEEE Transactions on Fuzzy Systems, Vol. 18(2), 396-411.
    • (2010) IEEE Transactions on Fuzzy Systems , vol.18 , Issue.2 , pp. 396-411
    • Lughofer, E.1    Kindermann, S.2
  • 17
    • 4944228528 scopus 로고    scopus 로고
    • A practical guide to support vector classification
    • National Taiwan University
    • Hsu, C.W., Chang, C.C., Lin, C.J., 2003. A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, http://www.csie.ntu.edu.tw/cjlin/papers/guide/guide. pdf.
    • (2003) Technical Report, Department of Computer Science
    • Hsu, C.W.1    Chang, C.C.2    Lin, C.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.