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Delay Prediction of Aircrafts Based on Health Monitoring Data


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1 IBM India Pvt Ltd, Bangalore, Karnataka, India
     

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Flight delay is a major issue faced by airline companies. Delay in the aircraft take off can lead to penalty and extra payment to airport authorities leading to revenue loss. The causes for delays can be weather, traffic queues or component issues. In this paper, we focus on the problem of delays due to component issues in the aircraft. In particular, this paper explores the analysis of aircraft delays based on health monitoring data from the aircraft. This paper analyzes and establishes the relationship between health monitoring data and the delay of the aircrafts using exploratory analytics, stochastic approaches and machine learning techniques.

Keywords

Aircraft Delay, Faults and Alerts, Markov Chains, Time Before Failure, Stochastic Ensemble.
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  • Delay Prediction of Aircrafts Based on Health Monitoring Data

Abstract Views: 255  |  PDF Views: 1

Authors

B. A. Dattaram
IBM India Pvt Ltd, Bangalore, Karnataka, India
N. Madhusudanan
IBM India Pvt Ltd, Bangalore, Karnataka, India

Abstract


Flight delay is a major issue faced by airline companies. Delay in the aircraft take off can lead to penalty and extra payment to airport authorities leading to revenue loss. The causes for delays can be weather, traffic queues or component issues. In this paper, we focus on the problem of delays due to component issues in the aircraft. In particular, this paper explores the analysis of aircraft delays based on health monitoring data from the aircraft. This paper analyzes and establishes the relationship between health monitoring data and the delay of the aircrafts using exploratory analytics, stochastic approaches and machine learning techniques.

Keywords


Aircraft Delay, Faults and Alerts, Markov Chains, Time Before Failure, Stochastic Ensemble.