Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td>(1)</td><td>Procedure prepare_data_set.</td></tr><tr><td>(2)</td><td>Get Clustured_dataset, distance center of cluster, elimination_number</td></tr><tr><td>(3)</td><td>For i = 1 to cluster_count</td></tr><tr><td>(4)</td><td> Sort distance of dataset_cluster(i) to cluster_center(i) descending</td></tr><tr><td>(5)</td><td> For j = 1 to elimination_number</td></tr><tr><td>(6)</td><td>  Delete j. data in clustered_dataset(i)</td></tr><tr><td>(7)</td><td> End for</td></tr><tr><td>(8)</td><td>End for</td></tr><tr><td>(9)</td><td>End procedure</td></tr></table></td></tr></table>

<div> Pseudocode of modified K-means algorithm.</div>

Scientific Programming

alg1

Algorithm 1

Algorithm 1: Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method 