Sensors 2014, 14(3), 4364-4383; doi:10.3390/s140304364
Article

A Wireless Fatigue Monitoring System Utilizing a Bio-Inspired Tree Ring Data Tracking Technique

1email, 2email, 3email, 2,* email and 1,2email
Received: 22 November 2013; in revised form: 20 February 2014 / Accepted: 20 February 2014 / Published: 5 March 2014
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Fatigue, a hot scientific research topic for centuries, can trigger sudden failure of critical structures such as aircraft and railway systems, resulting in enormous casualties as well as economic losses. The fatigue life of certain structures is intrinsically random and few monitoring techniques are capable of tracking the full life-cycle fatigue damage. In this paper, a novel in-situ wireless real-time fatigue monitoring system using a bio-inspired tree ring data tracking technique is proposed. The general framework, methodology, and verification of this intelligent system are discussed in details. The rain-flow counting (RFC) method is adopted as the core algorithm which quantifies fatigue damages, and Digital Signal Processing (DSP) is introduced as the core module for data collection and analysis. Laboratory test results based on strain gauges and polyvinylidene fluoride (PVDF) sensors have shown that the developed intelligent system can provide a reliable quick feedback and early warning of fatigue failure. With the merits of low cost, high accuracy and great reliability, the developed wireless fatigue sensing system can be further applied to mechanical engineering, civil infrastructures, transportation systems, aerospace engineering, etc.
Keywords: fatigue; structural health monitoring (SHM); rain-flow counting method; data tracking of tree rings; Digital Signal Processing (DSP); wireless sensor; PVDF
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MDPI and ACS Style

Bai, S.; Li, X.; Xie, Z.; Zhou, Z.; Ou, J. A Wireless Fatigue Monitoring System Utilizing a Bio-Inspired Tree Ring Data Tracking Technique. Sensors 2014, 14, 4364-4383.

AMA Style

Bai S, Li X, Xie Z, Zhou Z, Ou J. A Wireless Fatigue Monitoring System Utilizing a Bio-Inspired Tree Ring Data Tracking Technique. Sensors. 2014; 14(3):4364-4383.

Chicago/Turabian Style

Bai, Shi; Li, Xuan; Xie, Zhaohui; Zhou, Zhi; Ou, Jinping. 2014. "A Wireless Fatigue Monitoring System Utilizing a Bio-Inspired Tree Ring Data Tracking Technique." Sensors 14, no. 3: 4364-4383.


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