Arrival Time Detection in Thin Multilayer Plates on the Basis of Akaike Information Criterion

نویسندگان

  • PETR SEDLAK
  • YUICHIRO HIROSE
  • MANABU ENOKI
  • JOSEF SIKULA
چکیده

The information of first-arrival time of acoustic emission (AE) signal is important in event location, event identification and source mechanism analysis. Manual picks are time-consuming and sometimes subjective. Several approaches are used in practice. New first arrival automatic determination technique of AE signals in thin metal plates is presented. Based on Akaike information criterion (AIC), proposed algorithm of the first-arrival detection uses the specific characteristic function, which is sensitive to change of frequency in contrast to others such as envelope of the signal. The approach was tested on real AE data recorded by a four-channel recording system. The results were compared to manual picks and to other AIC approach. It is shown that our two-step AIC picker is a reliable tool to identify the arrival time for AE signals.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ON H−INFINITY BASED DIRECTION FINDING AND SOURCE DETECTION (WedPmOR7)

Abstract : Recently, the authors have proposed a novel approach to Direction−Of−Arrival (DOA) estimation using the $\Hf$ criterion. This article examines the limits of performance of $\Hf$−based direction finding and arrives at a lower bound on the estimation error, analogous to the Cramer−Rao Bound (CRB). Furthermore, the analysis of the $\Hf$−based algorithm's prediction error using one of Ak...

متن کامل

DAMAGE DETECTION IN THIN PLATES USING A GRADIENT-BASED SECOND-ORDER NUMERICAL OPTIMIZATION TECHNIQUE

The purpose of the present study is the damage detection in the thin plates in terms of the wide application of such structures in various branches of engineering such as structural, mechanical, aerospace, shipbuilding, etc. using gradient-based second-order numerical optimization techniques. The technique used for optimization in this study is the second-order Levenberg-Marquardt algorithm (SO...

متن کامل

استفاده از مدل چندجمله‌ای کسری در تعیین عوامل مرتبط با بقای بیماران مبتلا به سرطان معده

Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters. Fractional polynomial is one of these techniques in Cox model. The aim of this study was to assess the effects of prognostic factors on survival of patients with gastric cancer using the fractiona...

متن کامل

Automatic P-Wave Arrival Detection and Picking with Multiscale Wavelet Analysis for Single-Component Recordings

We have developed an automatic P-wave arrival detection and picking algorithm based on the wavelet transform and Akaike information criteria (AIC) picker. Wavelet coefficients at high resolutions show the fine structure of the time series, and those at low resolutions characterize its coarse features. Primary features such as the P-wave arrival are retained over several resolution scales, where...

متن کامل

Background and Preview 1.2 Linear Adaptive Filters 1.2.1 Least -mean -square Algorithm

Learning is a process by which the free parameters and the topology of a neural network are adapted through a process of stimulation by the environment in which the network is embedded [Haykin, 2009 ]. Adjustments on the free parameters are well studied in the adaptive fi ltering and neural network fi elds, whereas adaptation of the topology still has much room for investigation. Traditionally,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009