Now showing items 1-4 of 4

    • Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2012-12)
      This paper discusses the application of frame energy based Discrete Cosine Transformation (DCT) moment features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel ...
    • Motorbike engine faults diagnosing system using neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Sazali, Yaacob, Prof. Dr.; Zin, M.Z.M. (IEEE Conference Publications, 2008-12)
      Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. ...
    • Steel plate damage diagnosis using probabilistic neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2013-01)
      This paper discusses the application of frame energy based DFT spectral band features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. ...
    • Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks 

      Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Mohd Nor Fakhzan, Mohd Kazim; Krishnan, Pranesh (Elsevier Ltd., 2013)
      This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...