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Volumn 56, Issue 12, 1998, Pages 1395-1401

Neural network burst pressure prediction in fiberglass epoxy pressure vessels using acoustic emission

Author keywords

Acoustic emission; Burst pressure; Epoxy; Neural network; Pressure vessels

Indexed keywords

ACOUSTIC EMISSION TESTING; ASTM STANDARDS; BACKPROPAGATION; BOTTLES; ERRORS; FORECASTING; GLASS FIBERS; PRESSURE VESSELS; ACOUSTIC EMISSIONS; EPOXY RESINS; PRESSURE EFFECTS; PRESSURIZATION; STRENGTH OF MATERIALS; TEMPERATURE;

EID: 0032304618     PISSN: 00255327     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article
Times cited : (21)

References (10)
  • 2
    • 0027660187 scopus 로고
    • Neural Network Prediction of Aluminum-Lithium Weld Strengths from Acoustic Emission Amplitude Data
    • September
    • Hill, Eric v.K., "Neural Network Prediction of Aluminum-Lithium Weld Strengths from Acoustic Emission Amplitude Data," Materials Evaluation, Vol. 51, No. 9, September 1993, pp. 1040-1045, 1051.
    • (1993) Materials Evaluation , vol.51 , Issue.9 , pp. 1040-1045
    • Hill, E.V.K.1
  • 3
    • 0025419927 scopus 로고
    • Acoustic Emission Burst Pressure Prediction in 5.75 inch Diameter Fiberglass Epoxy Pressure Vessels
    • Society for the Advancement of Materials and Process Engineering, Covina, California
    • Hill, Eric v.K., and Ted J. Lewis, "Acoustic Emission Burst Pressure Prediction in 5.75 inch Diameter Fiberglass Epoxy Pressure Vessels," Proceedings of 35th International SAMPE Symposium and Exhibition, Society for the Advancement of Materials and Process Engineering, Covina, California, 1990, pp. 2189-2201.
    • (1990) Proceedings of 35th International SAMPE Symposium and Exhibition , pp. 2189-2201
    • Hill, E.V.K.1    Lewis, T.J.2
  • 4
    • 5344234496 scopus 로고    scopus 로고
    • Burst Pressure Prediction in Graphite Epoxy Pressure Vessels Using Neural Networks and Acoustic Emission Amplitude Data
    • June
    • Hill, Eric v.K., James L. Walker, II, and Ginger H. Rowell, "Burst Pressure Prediction in Graphite Epoxy Pressure Vessels Using Neural Networks and Acoustic Emission Amplitude Data," Materials Evaluation, Vol. 54, No. 6, June 1996, pp. 744-748, 754.
    • (1996) Materials Evaluation , vol.54 , Issue.6 , pp. 744-748
    • Hill, E.V.K.1    Walker II, J.L.2    Rowell, G.H.3
  • 5
    • 0028732468 scopus 로고
    • A Neural Network Model and Multiple Linear Regression
    • eds. C.H. Dagli, B.R. Fernandez, J. Ghosh, and R.T.S. Kumara, American Society of Mechanical Engineering Press, New York, NY
    • Hubele, N.F., and H.B. Hwarng, "A Neural Network Model and Multiple Linear Regression," in Intelligent Engineering Systems Through Artificial Neural Networks, eds. C.H. Dagli, B.R. Fernandez, J. Ghosh, and R.T.S. Kumara, Vol. 4, American Society of Mechanical Engineering Press, New York, NY, 1994, pp. 199-203.
    • (1994) Intelligent Engineering Systems Through Artificial Neural Networks , vol.4 , pp. 199-203
    • Hubele, N.F.1    Hwarng, H.B.2
  • 7
    • 0030247148 scopus 로고    scopus 로고
    • Isolating Tensile Failure Mechanisms in Fiberglass Epoxy from Acoustic Emission Signal Parameters
    • September
    • Kouvarakos, M., and Eric v.K. Hill, "Isolating Tensile Failure Mechanisms in Fiberglass Epoxy from Acoustic Emission Signal Parameters," Materials Evaluation, Vol. 54, No. 9, September 1996, pp. 1025-1031.
    • (1996) Materials Evaluation , vol.54 , Issue.9 , pp. 1025-1031
    • Kouvarakos, M.1    Hill, E.V.K.2
  • 8
    • 0347675302 scopus 로고
    • Butterworth & Co. Ltd., London, England
    • Tenant-Smith, J., Basic Statistics, Butterworth & Co. Ltd., London, England, 1985, p. 106.
    • (1985) Basic Statistics , pp. 106
    • Tenant-Smith, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.