High Sensitive Methods for Health Monitoring of Compressor Blades and Fatigue Detection

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</svg> m/s<sup>2</sup>, <svg height="17.4" id="M200" style="vertical-align:-4.15506pt" version="1.1" viewbox="0 0 25.4 17.4" width="25.4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,12.162)"><path d="M619 670q0 -13 -9 -26t-18 -19q-13 -10 -25 2q-36 38 -66 38q-31 0 -54.5 -50t-45.5 -185h120l-20 -31l-107 -12q-23 -138 -57 -293q-27 -122 -55 -184.5t-75 -109.5q-60 -61 -114 -61q-25 0 -47.5 15t-22.5 31q0 17 31 44q11 8 20 -1q10 -11 31 -19t35 -8q26 0 47 19
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</svg>: frequency of amplitude resonance) [<a href="/journals/tswj/2013/218460/#B24">23</a>].</table>

The Scientific World Journal

fig27

Figure 27

Figure 27: High Sensitive Methods for Health Monitoring of Compressor Blades and Fatigue Detection 