Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/complexity/volume-2019/8431784/figures/8431784.fig.0016a.svgz" name="8431784.fig.0016a" type="image/svg+xml"></object><div class="fig-label">(a) Initial tool wear</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/complexity/volume-2019/8431784/figures/8431784.fig.0016b.svgz" name="8431784.fig.0016b" type="image/svg+xml"></object><div class="fig-label">(b) Normal tool wear</div></div><div class="sub-figure" id="c"><object data="https://static.hindawi.com/articles/complexity/volume-2019/8431784/figures/8431784.fig.0016c.svgz" name="8431784.fig.0016c" type="image/svg+xml"></object><div class="fig-label">(c) Severe tool wear</div></div></figure>

<p>Waveforms of AE signal by wavelet multiresolution decompositions (cutting speed 64.6m/min; feed speed 0.11mm/r; depth of cut 1.2mm).</p>

Complexity

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Figure 16

Figure 16: Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning 