Now showing items 1-4 of 4

  • Deep belief network based state classification for structural health diagnosis 

    Tamilselvan, Prasanna; Wang, Yibin; Wang, Pingfeng (IEEE, 2012)
    Effective health diagnosis provides multifarious benefits such as improved safety, improved reliability and reduced costs for the operation and maintenance of complex engineered systems. This paper presents a novel ...
  • Failure Diagnosis Using Deep Belief Learning based Health State Classification 

    Tamilselvan, Prasanna; Wang, Pingfeng (Elsevier, 2013-03-13)
    Effective health diagnosis provides multifarious benefits such as improved safety, improved reliability and reduced costs for operation and maintenance of complex engineered systems. This paper presents a novel multi-sensor ...
  • Health diagnostics using multi-attribute classification fusion 

    Wang, Pingfeng; Tamilselvan, Prasanna; Hu, Chao (Elsevier Ltd., 2014-06)
    This paper presents a classification fusion approach for health diagnostics that can leverage the strengths of multiple member classifiers to form a robust classification model. The developed approach consists of three ...
  • On combinational networks with restricted fan-out 

    Kodandapani, K.L.; Seth, S.C. (IEEE, 1978-04)
    Fan-out-free networks of AND, OR, NOT, EXOR, and MAJORITY gates are considered. Boolean functions for which such networks exist are defined to be fan-out free. The paper solves the following problems regarding the fan-out-free ...