Long term planning of military aircraft flight and maintenance operations

Scheduling a Dynamic Aircraft Repair Shop with Limited Repair Resources

We address a dynamic repair shop scheduling problem in the context of military aircraft fleet management where the goal is to maintain a full complement of aircraft over the long-term. A number of flights, each with a requirement for a specific number and type of aircraft, are already scheduled over a long horizon. We need to assign aircraft to flights and schedule repair activities while considering the flights requirements, repair capacity, and aircraft failures. The number of aircraft awaiting repair dynamically changes over time due to failures and it is therefore necessary to rebuild the …

A Column Generation based Heuristic for the Tail Assignment Problem

This article proposes an efficient heuristic in accelerating the column generation by parallel resolution of pricing problems for aircrafts in the tail assignment problem (TAP). The approach is able to achieve considerable improvement in resolution time for real life test instances from two major Indian air carriers. The different restrictions on individual aircraft for maintenance routing as per aviation regulatory bodies are considered in this paper. We also present a variable fixing heuristic to improve the integrality of the solution. The hybridization of constraint programming and column …

航空维护计划优化

Optimisation of Aircraft Maintenance Schedules

本文利用进化算法优化航空维护调度，通过基准测试60个实例验证算法有效性。

预测性维护：基于深度学习的战斗机发动机剩余使用寿命预测

Predictive Maintenance: Deep Learning-Based Remaining Useful Life Prediction for Combat Aircraft Engines

本研究针对战斗机发动机维护需求，开发基于深度学习的预测性维护模型，利用NASA相关数据集验证其性能，还配套决策支持模拟器，提升战备状态并降低维护成本。

用于飞机预测性维护的代理神经网络局部稳定性

Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance

本文评估了经验与形式化方法在飞机预测性维护中验证代理神经网络局部稳定性的适用性，展示了顺序组合多种方法构成单一验证流水线能有效减少运行时间。

Possibilistic Assumption based Truth Maintenance System, Validation in a Data Fusion Application

Data fusion allows the elaboration and the evaluation of a situation synthesized from low level informations provided by different kinds of sensors. The fusion of the collected data will result in fewer and higher level informations more easily assessed by a human operator and that will assist him effectively in his decision process. In this paper we present the suitability and the advantages of using a Possibilistic Assumption based Truth Maintenance System (n-ATMS) in a data fusion military application. We first describe the problem, the needed knowledge representation formalisms and problem…