Augmenting Aircraft Engine Flight Data with Generative Adversarial Networks for Fault Detection

Recent advancements in deep learning for aircraft engine fault detection have been predominantly focused on research using simulated datasets. Despite significant progress, the gap between simulated and real-world data underscores a pressing need for models that are more applicable and adaptable to the aerospace industry. This discrepancy stems...

Extended Surrogate Modelling for Gas Turbine Diagnostics & Prognostics

As turbofan technology advances, periodic engine inspection and maintenance still remain a significant part of aircraft operational costs. Operators are thus looking to engine condition-based maintenance (ECBM), leveraging sensor data and numerical engine models for continuous diagnostics. KLM Engine Services developed a surrogate model based on...

Integration of Condition Based Maintenance in the Preventive Maintenance Planning of Rolling Stock

Planning rolling stock maintenance based on prognostic data (Condition Based Maintenance, CBM) is a trend since the ideal timing for maintenance before failure can be planned. With the use of prognostics, a failure can be predicted so Corrective Maintenance (CM) can be avoided. Traditional rolling stock decision-making for Preventive Maintenance...

Surrogate Model Based Diagnostics for the GEnx-1B Turbofan Engine

Over the years, aero engines have evolved into the efficient turbofans present on commercial airliners today. Although these engines are very reliable, they still experience degradations in performance and reductions in component health. The degradation affects the operation of the engine, which can be measured using the pressure, temperature,...

The Condition-Based Maintenance Scheduling Challenge: A Reinforcement Learning Interpretation

Condition-based maintenance (CBM) is emerging in the airline industry as a revolutionary concept that could potentially increase the efficiency of aircraft operations. The adoption of CBM strategies is not yet widespread due to the stringent requirements imposed by aviation authorities and the fact that the prognostic and health management (PHM)...

Assessing the Impact of Condition-Based Maintenance as a Function of the Variation in Prognostics Performance Levels

As the profit margins of the airline industry are relatively low, it is of utmost importance to keep costs low in order for airlines to stay competitive. An important cost factor is maintenance costs, as it can take up around 10-20 % of the total direct operational costs. Currently, much development is taking place in developing condition-based...

Prognostics-driven supply chain optimization in commercial aviation

Maintenance providers in commercial aviation are looking into new strategies to improve maintenance operations and aircraft availability in order to reduce cost and increase customer satisfaction. Aircraft availability and thus profitability highly relies on adequate maintenance because an aircraft is only profitable when...

Supporting usage-driven maintenance decision making for military assets: A data-driven approach

Delivering air power is the main goal of an Air Force. Military aircraft used to deliver this air power are required to be maintained in accordance with a so-called Aircraft Maintenance Program (AMP). Utilization of military aircraft is assumed to be constant when constructing an AMP. In reality, usage can drastically change over both short- and...

Remaining Useful Life Estimation Using Explicit Duration Hidden Markov Models

Hidden Markov models are suited for modelling processes whose state is not<br/>directly visible, but the outputs of which depend on its state. As such they can be used to model degradation of machines. Hidden semi Markov models extend hidden Markov models by removing the inherent geometric constraint imposed on hidden Markov models.<br/>Using...

Gas Turbine Diagnostics Based on Gas Path Analysis

Better availability ensures economic operation of the gas turbine, saving in the order of millions. One step towards such an approach is to develop real-time monitoring methods. Real-time monitoring allows users to monitor the performance of the gas turbine and ensure proper functioning of the engine. Moreover changes in gas path components can...

Condition assessment of the insulation of on-load tap changers by partial discharge measurements

During the last 50 years electricity demand has significantly increased. Large amounts of electricity are transported from the generation to the consumption sites. Overhead lines or underground cables are used to transport the required energy. High voltage levels are used to reduce the transmission losses. Power transformers are responsible for...