2008
DOI: 10.1117/1.2919793
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Laser-scanning structural health monitoring with wireless sensor motes

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Cited by 13 publications
(10 citation statements)
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“…Fatigue crack initiation occurs when the slipband width to spacing ratio increases to a value of 0.5 to 1 for Ni200. Thus, the evolution of roughness of a fatigued surface may potentially be used as a damage precursor or indicator to prognosticate fatigue crack initiation from a surface, as demonstrated by Buckner et al [5] on machined surfaces of Waspaloy. A region of high surface roughness may indicate a region where cyclic deformation and slipband formations are prevalent.…”
Section: Discussionmentioning
confidence: 95%
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“…Fatigue crack initiation occurs when the slipband width to spacing ratio increases to a value of 0.5 to 1 for Ni200. Thus, the evolution of roughness of a fatigued surface may potentially be used as a damage precursor or indicator to prognosticate fatigue crack initiation from a surface, as demonstrated by Buckner et al [5] on machined surfaces of Waspaloy. A region of high surface roughness may indicate a region where cyclic deformation and slipband formations are prevalent.…”
Section: Discussionmentioning
confidence: 95%
“…For structural components, the machined surfaces may be sufficiently rough to obscure the detection of surface roughness due to persistent slipbands or extrusions. Such a concern was alleviated by recent work by Buckner et al, [5] who successfully obtained surface roughness measurements on machined surfaces of Waspaloy* with and without fatigue. Significant differences were observed in the bidirectional reflectance distribution (BRDF) signal levels of the pristine and fatigued machined surfaces.…”
Section: Introductionmentioning
confidence: 97%
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“…Wireless sensor interface, data processing subsystem, wireless transceiver and power supplier need to be encompassed to achieve wireless data acquisition (Dorvash 2013). Different wireless techniques have been used in structural health monitoring (Buckner et al 2008;Grosse and Krüger 2006;Mascarenas et al 2010). A typical wireless sensor network is shown in Figure 2.4.…”
Section: Contact Based Shm Sensor Systemmentioning
confidence: 99%