7/31/08

Acoustic Emission education program/courses

Work in the field of Acoustic Emission (AE) requires a multidisciplinary knowledge in many scientific areas and appropriate experience. Nevertheless, currently, there are neither dedicated academic programs for preparation of AE specialists nor recommended practices for a self-study. As a result, preparation of new specialists in the field of AE is incomplete and takes a long time.

For methodological, systematic approach to preparation of AE specialists it necessary to prepare a dedicated educational program.  For this purpose I developed a map of Acoustic Emission science that combines theoretical and technological aspects. This map can be used as an outline of course of Acoustic Emission. This map can be downloaded also in pdf format.


Details in www.muravin.com/AE

2 comments:

  1. Anonymous3/10/08

    Name: Mahendran @ Bob
    Location: University Tenaga Nasional, Malaysia
    E-mail: mahendroo@yahoo.com

    i am curently working on research university project title: "Study and Analysis of Different Feature Selection Techniques for Acoustic Emission Signals".

    I have done with the analysis of theory of Acoustic Emission but now facing difficulties
    on how to find features that are simple to extract, invariant to irrelevant transformations of the input, insensitive to noise, and useful for discriminating patterns in different categories.

    I am looking forward for your guidance, Mr Muravin.

    Thank You.

    ReplyDelete
  2. Hello,

    There is no one solution for all applications. Methods of analysis have to be selected for every specific application separately.

    From the physics point of view the most informative parameters of AE are energy, frequency and amplitude. Those are related to energetic and kinetic characteristics of developing fracture. All of these parameters depend on equipment used and noise. There are several techniques that allows to reduce effect of variable noise on energy and frequency. To use these techniques you should know noise characteristics and it is specific for every specific application. From different energy parameters I would select those independent from threshold. For frequency evaluation median frequency can be more appropriate.

    Another approach is based on PCA or comparable statistical methods that selects the most informative (independent) AE parameters for the specific application or case. Results of this analysis has to be explained from physics point otherwise it may lead to erroneous interpretation.

    As I wrote before, more details are need to answer more specifically on your questions.

    Best regards,
    Boris Muravin

    ReplyDelete