عنوان

Rail crack monitoring using acoustic emission technique /

شابک

9789811083488

شابک

9811083487

شابک اشتباه

9789811083471

شابک اشتباه

9811083479

عنوان اصلي

Rail crack monitoring using acoustic emission technique /

نام عام مواد

[Book]

نام نخستين پديدآور

Dan Li.

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource (xxviii, 136 pages) :

ساير جزييات

illustrations (some color)

عنوان فروست

Springer theses,

شاپا ي ISSN فروست

2190-5053

متن يادداشت

"Doctoral thesis accepted by the National University of Singapore, Singapore."

متن يادداشت

Includes bibliographical references.

متن يادداشت

Intro; Supervisor's Foreword; Parts of this thesis have been published in the following journal articles:Li, D. *, Kuang, K.S.C., Koh, C.G. (2017). Rail crack monitoring based on Tsallis synchrosqueezed wavelet entropy of acoustic emission signals: a field study. Structural Health Monitoring. Prepublished online December 4, 2017, DOI: 10.1177/1475921717742339. Li, D., Kuang, K.S.C. *, Koh, C.G. (2017). Fatigue crack sizing in rail steel using crack closure-induced acoustic emission waves. Measurement Science and Technol; Acknowledgements; Contents; Abbreviations; Nomenclature.

متن يادداشت

2.3.3 Relevant Applications of AE Technique2.4 State-of-Art of Rail Condition Monitoring Using AE; References; 3 Propagation Features and Source Location; 3.1 Introduction; 3.2 Experimental Procedure; 3.2.1 Pencil Lead Break (PLB); 3.2.2 Field PLB Test; 3.2.3 Field Train Pass-by Test; 3.2.4 AE Data Acquisition; 3.3 Time-Frequency Representation of AE Waves; 3.3.1 Continuous Wavelet Transform (CWT); 3.3.2 Optimal Mother Wavelet Selection; 3.3.3 Time-Frequency Characteristics of AE Waves; 3.4 Propagation Features of AE Waves; 3.4.1 Theory of Ultrasonic Propagation.

متن يادداشت

3.4.2 Attenuation of AE Waves in Rail Head3.4.3 Dispersion of AE Waves in Rail Head; 3.5 Source Location Methods; 3.5.1 Time-of-Arrival (TOA) Method; 3.5.2 Wavelet Transform-Based Modal Analysis Location (WTMAL) Method; 3.6 Hilbert Transform-Based Noise Cancellation Method; 3.7 Results and Discussion; 3.7.1 Influence of Operational Noise on Crack Detection; 3.7.2 Source Location Without Noise Using TOA Method; 3.7.3 Source Location Without Noise Using WTMAL Method; 3.7.4 Source Location with Noise Using WTMAL Method; 3.8 Concluding Remarks; References; 4 Sizing of Fatigue Cracks.

متن يادداشت

4.1 Introduction4.2 Experimental Procedure; 4.2.1 Rail Steel Specimens; 4.2.2 Fatigue Tests; 4.2.3 AE Data Acquisition; 4.2.4 Crack Length Calculation; 4.2.5 Crack Surface Observation; 4.3 AE Wave Classification; 4.3.1 Wavelet Power (WP)-Based Classification Index; 4.3.2 Threshold Determination for the Classification Index; 4.3.3 Frequency Bands Selection for the Classification Index; 4.4 Fatigue Crack Sizing Methods; 4.4.1 Traditional Method Based on CP-Induced AE Waves; 4.4.2 Novel Method Based on CC-Induced AE Waves; 4.4.3 Comparison of Crack Sizing Methods; 4.5 Results and Discussion.

متن يادداشت

List of FiguresList of Tables; Summary; 1 Introduction; 1.1 Background; 1.2 Objectives and Scope of Research; 1.3 Research Significance; 1.4 Thesis Outline; References; 2 Literature Review; 2.1 Common Defects of Rail Track; 2.1.1 Surface Cracks; 2.1.2 Internal Cracks; 2.2 Current Rail Monitoring Techniques; 2.2.1 Acceleration-Based Technique; 2.2.2 Automated Visual Technique; 2.2.3 Ultrasonic Techniques; 2.2.4 Electromagnetic Techniques; 2.2.5 Magnetic Induction Technique; 2.3 AE Technique and Its Applications; 2.3.1 Introduction to AE Technique; 2.3.2 Characterization of AE Waves.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the time-frequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy (TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811083488

عنوان

Rail crack monitoring using acoustic emission technique.

شماره استاندارد بين المللي کتاب و موسيقي

9789811083471

موضوع مستند نشده

Acoustic emission testing.

موضوع مستند نشده

Railroad tracks-- Testing.

موضوع مستند نشده

Acoustic emission testing.

موضوع مستند نشده

Railroad tracks-- Testing.

موضوع مستند نشده

TECHNOLOGY & ENGINEERING-- Engineering (General)

موضوع مستند نشده

TEC-- 009000

موضوع مستند نشده

TTA

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Li, Dan

تاريخ عمليات

20200823222535.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y