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1
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58049163057
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Soft computing applications in PHM
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(Da Rua, Montero, Lu, Martinez, D'hondt, Kerre, eds.) World Scientific 2008
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P. Bonissone (2008a). Soft Computing Applications in PHM, Proc. FLINS 2008, Madrid, Spain-in Computational Intelligence in Decision and Control (Da Rua, Montero, Lu, Martinez, D'hondt, Kerre, eds.), pp 751-756, World Scientific 2008.
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Proc. FLINS 2008, Madrid, Spain-in Computational Intelligence in Decision and Control
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Bonissone, P.1
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2
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84911429711
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Soft computing applications in prognostics and health management: A time and knowledge framework with selected case studies
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Arlington, VA.
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P. Bonissone (2007). Soft Computing Applications in Prognostics and Health Management: A Time and Knowledge Framework with Selected Case Studies, Proc. AAAI Fall Symposium on Artificial Intelligence for Prognostics, Arlington, VA..
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(2007)
Proc. AAAI Fall Symposium on Artificial Intelligence for Prognostics
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Bonissone, P.1
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3
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38149044984
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Soft computing applications to Prognostics and Health Management (PHM): Leveraging field data and domain knowledge
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San Sebastián (Spain)
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P. Bonissone. N. Iyer (2007). Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging field data and domain knowledge, Proc. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), pp. 928-939, San Sebastián (Spain).
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Proc. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007)
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Bonissone, P.1
Iyer, N.2
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4
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84907344862
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Using neural networks for sensor validation
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Seattle, WA, 1998; AIAA-98-3547; NASA/TM-1998-208483
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D.L. Mattern, L.C. Jaw, T.-H. Guo, R. Graham, W. McCoy (1998). Using Neural Networks for Sensor Validation, Proc. 34th Joint Propulsion Conference, Seattle, WA, 1998; AIAA-98-3547; NASA/TM-1998-208483.
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Proc. 34th Joint Propulsion Conference
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Mattern, D.L.1
Jaw, L.C.2
Guo, T.-H.3
Graham, R.4
McCoy, W.5
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5
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67650565591
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Robust Model selection decision-making using a fuzzy supervisory approach
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Nashville, TN
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X Hu, P. Bonissone, R. Subbu (2009). Robust Model Selection Decision-making using a Fuzzy Supervisory Approach, Proc. IEEE MCDM 2009, Nashville, TN.
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(2009)
Proc. IEEE MCDM 2009
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Hu, X.1
Bonissone, P.2
Subbu, R.3
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6
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34548767201
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Anomaly detection using non-parametric information
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Montreal, Canada
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A. Varma, P. Bonissone, W. Yan, N. Eklund, K. Goebel, N. Iyer, S. Bonissone (2007). Anomaly Detection using Non-Parametric information, Proc. ASME Turbo Expo 2007: Power for Land, Sea and Air, Montreal, Canada.
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Proc. ASME Turbo Expo 2007: Power for Land, Sea and Air
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Varma, A.1
Bonissone, P.2
Yan, W.3
Eklund, N.4
Goebel, K.5
Iyer, N.6
Bonissone, S.7
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7
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67650521949
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Research Issues in Multi Criteria Decision Making (MCDM): The impact of uncertainty in solution evaluation
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Malaga, Spain
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P. Bonissone (2008 b). Research Issues in Multi Criteria Decision Making (MCDM): The Impact of Uncertainty in Solution Evaluation, Proc. IPMU 2008, Malaga, Spain.
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(2008)
Proc. IPMU 2008
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Bonissone, P.1
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8
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15744395128
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Six sigma quality applied throughout the lifecycle of and automated decision system
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A. Patterson, P. Bonissone, and M. Pavese (2005). Six Sigma Quality Applied Throughout the Lifecycle of and Automated Decision System", Journal of Quality and Reliability Engineering International, 21(3):275-292.
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Journal of Quality and Reliability Engineering International
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Patterson, A.1
Bonissone, P.2
Pavese, M.3
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9
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0026113980
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Nonlinear principal component analysis using auto-associative neural networks
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M.A. Kramer (1991). Nonlinear Principal Component Analysis Using Auto-associative Neural Networks, AIChE Journal, 37(2): 233-243.
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AIChE Journal
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Kramer, M.A.1
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Multivariate change detection for time series data in aircraft engine fault diagnostics
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Montreal, Canada
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X. Hu, H. Qiu, N. Iyer, (2007). Multivariate Change Detection for Time Series Data in Aircraft Engine Fault Diagnostics, Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics, Montreal, Canada.
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Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics
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Hu, X.1
Qiu, H.2
Iyer, N.3
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11
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Fuzzy sets as a basis for a theory of possibility
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Zadeh, L.A.1
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12
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0003509518
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Institute of Physics, Fall
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E. Ruspini, P. Bonissone, and W. Pedrycz, Handbook of Fuzzy Computing, Institute of Physics, Fall 1998, ISBN: 0750304278
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(1998)
Handbook of Fuzzy Computing
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Ruspini, E.1
Bonissone, P.2
Pedrycz, W.3
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13
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0016451032
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An experiment in linguistic synthesis with a fuzzy logic controller
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E.H. Mamdani and S. Assilian (1975). An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Machine Studies, 7(1):1-13.
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Mamdani, E.H.1
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15
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38249037027
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Summarizing and propagating uncertain information with triangular norms
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P.P. Bonissone (1987). Summarizing and Propagating Uncertain Information with Triangular Norms, International Journal of Approximate Reasoning, 1(1):71-101.
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International Journal of Approximate Reasoning
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Bonissone, P.P.1
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17
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0032822143
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A comparative study of neural network based feature extraction paradigms
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B. Lerner, H. Guterman, M. Aladjem, I. Dinstein (1999). A Comparative Study of Neural Network Based Feature Extraction Paradigms, Pattern Recognition Letters, 20, pp 7-14.
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Pattern Recognition Letters
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Lerner, B.1
Guterman, H.2
Aladjem, M.3
Dinstein, I.4
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18
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0026849990
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Autoassociative neural networks
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M.A. Kramer (1992). Autoassociative neural networks, Computers & Chemical Engineering, 16 (4):313-328.
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Computers & Chemical Engineering
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Kramer, M.A.1
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0031996958
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Use of autoassociative neural networks for signal validation
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J.W. Hines, I E. Uhrig (1998). Use of Autoassociative Neural Networks for Signal Validation, Journal of Intelligent and Robotic Systems, 21(2): 143-154.
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Journal of Intelligent and Robotic Systems
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Hines, J.W.1
Uhrig, I.E.2
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Using gated experts in fault diagnosis and prognosis
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H. Berenji, W. Yan, D. Vengerov, R. Langari, M. Jamshidi (2004). Using gated experts in fault diagnosis and prognosis, Proc. 2004 IEEE International Conference on Fuzzy Systems, pp. 463-467.
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Proc. 2004 IEEE International Conference on Fuzzy Systems
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Berenji, H.1
Yan, W.2
Vengerov, D.3
Langari, R.4
Jamshidi, M.5
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