Applying data mining techniques to detect abnormal flight characteristics

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Thanks to the methods described in this study the process of post flight data analysis can be enriched and facilitated by saving both time and effort.The method can be customized for post flight data analysis of any aircraft. The process is autonomous, simple and straightforward.It makes a successful classification by an unsupervised learning model without the need for prior knowledge about the boundaries of the flight parameters. Furthermore, it provides an innovative approach for detecting anomalies in flights. Last but not least, it serves for the enhancement of flight safety which is an integral part of aviation. It can enlighten and alert the flight personnel to re-examine the suspicious landing approaches and take corrective actions if necessary.

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