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作者:

Shi, H. (Shi, H..) | Dong, T. (Dong, T..) | Liu, Z. (Liu, Z..) | Fang, H. (Fang, H..) | Ma, H. (Ma, H..) (学者:马赫) | Fan, H. (Fan, H..)

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Scopus

摘要:

Railway axles are very common structures and the most important components used in high-speed transport fields, such as high-speed railway and subway. However, as parts of vehicles run during the serving time, the biggest failure mostly comes from axles. For this reason, it is of vital importance to detect the original cracks existing in railway axles and to recognize the damage severity or activeness of railway axles because the initial cracks are usually not easy to detect and know. Acoustic emission (AE) method is one of the most widely used ultrasonic techniques for monitoring crack growth and structure activities. In this paper, AE technique is used to analyze and evaluate different damage growing stages of 40CrNiMoA steel in process of stretching. Parameter-based approach was used to describe AE signal and the process of stretching. Then, the regulation between AE signal and crack growth was obtained by comparing AE parameters and stress-strain diagram of 40CrNiMoA steel. © 2015 IEEE.

关键词:

acoustic emission; crack growth; railway axles; structural health monitoring

作者机构:

  • [ 1 ] [Shi, H.]Beijing Aerospace Measure and Control Corp. Ltd, Beijing, 100041, China
  • [ 2 ] [Shi, H.]Beijing Key Laboratory of High-speed Transport, Intelligent Diagnostic and Health Management, Beijing, 100041, China
  • [ 3 ] [Dong, T.]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Liu, Z.]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Fang, H.]Beijing Aerospace Measure and Control Corp. Ltd, Beijing, 100041, China
  • [ 6 ] [Fang, H.]Beijing Key Laboratory of High-speed Transport, Intelligent Diagnostic and Health Management, Beijing, 100041, China
  • [ 7 ] [Ma, H.]Beijing Aerospace Measure and Control Corp. Ltd, Beijing, 100041, China
  • [ 8 ] [Ma, H.]Beijing Key Laboratory of High-speed Transport, Intelligent Diagnostic and Health Management, Beijing, 100041, China
  • [ 9 ] [Fan, H.]Beijing Aerospace Measure and Control Corp. Ltd, Beijing, 100041, China
  • [ 10 ] [Fan, H.]Beijing Key Laboratory of High-speed Transport, Intelligent Diagnostic and Health Management, Beijing, 100041, China

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来源 :

Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015

年份: 2016

语种: 英文

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WoS核心集被引频次: 0

SCOPUS被引频次: 1

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