Maintenance planning optimization for the Boeing 737 next generation aircraft

This research is aimed at developing a cost-effective maintenance planning and packaging method that will lead to the reduction in direct maintenance costs, yet maintaining the reliability of the Boeing 737 NG aircraft.

Classification, domains and risk assessment in asset management: A literature study

This paper presents a literature study on asset management in electrical power transmission and distribution system. Due to restructure and deregulation of electric power industry in recent times, the focus has been on transmission and<br/>distribution assets that include transmission lines, transformers, power plants, substations and support...

Developing Decision Support Tools for Rail Infrastructure Manager

European rail infrastructure managers (IMs) are managing aging rail infrastructure with 95% of the network having been built before 1914. EU transport policy provides the challenge to IMs to increase the productivity of existing rail networks, prioritise renewal and optimise new sections to reduce bottlenecks, increase productivity and achieve a...

A literature survey on asset management in electrical power [transmission and distribution] system

Asset management is one of the key components in a transforming electric power industry. Electric power industry is undergoing significant changes because of technical, socio-economical and environmental developments. Also, because of restructuring and deregulation, the focus has been on transmission and distribution assets that include...

Distributed optimization for railway track maintenance operations planning

In this paper, distributed optimization approaches are developed for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed planning problem is solved using three different distributed optimization schemes: Parallel Augmented Lagrangian...

Integrating Maintenance Work Progress Monitoring into Aircraft Maintenance Planning Decision Support

A decision support framework is proposed, allowing for the integration of aircraft maintenance work progress monitoring into the aircraft maintenance planning decision support process. The framework is able to monitor the progression of planned maintenance by analysing real-time data on work progress. This can be used to explore optimal task...

Distributed Optimization for Railway Track Maintenance Operations Planning

An essential component of railway infrastructures is track ballast. As railway track is used frequently by passing rolling stocks, its performance degrades over time. At certain degradation levels, maintenance interventions must be carried out to improve the track performance so to meet technical and safety regulations. In this way, the risk of...

Integrated condition-based track maintenance planning and crew scheduling of railway networks

We develop a multi-level decision making approach for optimal condition-based maintenance planning of a railway network divided into a large number of sections with independent stochastic deterioration dynamics. At higher level, a chance-constrained Model Predictive Control (MPC) controller determines the long-term section-wise maintenance...

Macomi Maintenance: A user-centric data-analytic platform for railway maintenance planning optimisation

This thesis project investigated how user-centred design(UCD) contributes to the railway maintenance planning optimisation. A new UX concept and digital prototype were designed to provide intuitive interaction and clear structure to support the planners confidently and independently optimise railway maintenance planning on a digital platform. ...

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

Determination of inspection and maintenance policies for minimizing long-term risks and costs in deteriorating engineering environments constitutes a complex optimization problem. Major computational challenges include the (i) curse of dimensionality, due to exponential scaling of state/action set cardinalities with the number of components; ...

Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

The increasing availability of condition monitoring data for aircraft components has incentivized the development of Remaining Useful Life (RUL) prognostics in the past years. However, only few studies consider the integration of such prognostics into maintenance planning. In this paper we propose a dynamic, predictive maintenance scheduling...

Predictive Maintenance Planning Using Renewal Reward Processes and Probabilistic RUL Prognostics: Analyzing the Influence of Accuracy and Sharpness of Prognostics

We pose the maintenance planning for systems using probabilistic Remaining Useful Life (RUL) prognostics as a renewal reward process. Data-driven probabilistic RUL prognostics are obtained using a Convolutional Neural Network with Monte Carlo dropout. The maintenance planning model is illustrated for aircraft turbofan engines. The results show...

Condition-Based Maintenance in Aviation: Challenges and Opportunities

Condition-Based Maintenance (CBM) is a policy that uses information about the health condition of systems and structures to identify optimal maintenance interventions over time, increasing the efficiency of maintenance operations. Despite CBM being a well-established concept in academic research, the practical uptake in aviation needs to catch...

Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines

The increasing availability of condition-monitoring data for components/systems has incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the past years. However, most studies focus on point RUL prognostics, with limited insights into the uncertainty associated with these estimates. This limits the...

A practical maintenance framework to determine a maintenance plan starting from experience-based maintenance: Use case at Viscon Plant Technology

Maintenance of complex machines or assemblies is an essential part of machine-building companies. Besides building and designing machines, they are responsible for replacing components and restoring the machines to maintain good operational conditions. An optimal maintenance plan ensures that customers spend less on maintenance and remain...

Multi-objective Deep Reinforcement Learning for predictive maintenance of road networks

Operation and maintenance of the built environment have a major effect on socioeconomic stability and sustainability. A significant part of our built world approaches or has well exceeded its designated structural life. As engineers, we need to find efficient ways to extend this life while maintaining acceptable levels of safety and performance....