A Generalised Methodology for the Diagnosis of Aircraft Systems

Ezhilarasu, Cordelia Mattuvarkuzhali; Skaf, Zakwan; Jennions, Ian K.

doi:10.1109/access.2021.3050877

Cited by 21 publications

(8 citation statements)

References 21 publications

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“…The focus of IVHM was at the LRU level until it gravitated towards the subsystems/systems level. 71 There has been a shift towards the vehicle level, 72,73 where the advantage over component level diagnostics is evident. Ezhilarasu and Jennions 74 tackled health management at the vehicle level, using digital twins and a reasoning layer, to detect faults, their origin as well as their interaction effects.…”

Section: Ivhm and Its Implementation Across Industriesmentioning

confidence: 99%

“…93 Data-driven diagnostic methods rely on data collected from sensors that are placed at strategic areas of the system. 77,94,95 For instance, Skywise, which is designed by Airbus to handle integrations of commercial and operational systems, processing large volumes of data such as time-series data coming from aircraft sensors, structured data from operational and maintenance data and unstructured data such as technical documents. 96 Model-based methods use a physics model of the system or component to conduct the analysis on its health, by developing a virtual representation of the actual asset to mimic its behaviour.…”

Section: Health Management From the Platform Viewmentioning

confidence: 99%

See 1 more Smart Citation

Platform health management for aircraft maintenance – a review

Kwakye,

Jennions,

Ezhilarasu

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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Aircraft health management has been researched at both component and system levels. In instances of certain aircraft faults, like the Boeing 777 fuel icing problem, there is evidence suggesting that a platform approach using an Integrated Vehicle Health Management (IVHM) system could have helped detect faults and their interaction effects earlier, before they became catastrophic. This paper reviews aircraft health management from the aircraft maintenance point of view. It emphasizes the potential of a platform solution to diagnose faults, and their interaction effects, at an early stage. The paper conducts a thorough analysis of existing literature concerning maintenance and its evolution, delves into the application of Artificial Intelligence (AI) techniques in maintenance, explains the rationale behind their employment, and illustrates how AI implementation can enhance fault detection using platform sensor data. Further, it discusses how computational severity and criticality indexes (health indexes) can potentially be complementary to the use of AI for the provision of maintenance information on aircraft components, for assisting operational decisions.

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Section: Ivhm and Its Implementation Across Industriesmentioning

confidence: 99%

Section: Health Management From the Platform Viewmentioning

confidence: 99%

Platform health management for aircraft maintenance – a review

Kwakye,

Jennions,

Ezhilarasu

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Recently, DT has been integrated to improve assembly efficiency through exploiting real-time data to feed advanced big data analytics tools such as machine learning, especially assembly shopfloor for complex products such as missile, satellite, rocket, and aircraft (Zhuang et al, 2018). In particular, Ezhilarasu et al (2021) proposed a quality management framework using mRMR algorithm (minimum redundancy maximum relevance) to select the optimal set of data variables collected from aircraft sensors, then supervised learning algorithms to detect faults. When product failures occur, then root-cause analysis is required.…”

Section: Cluster 9: Dt In Product Assembly Processmentioning

confidence: 99%

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Nguyen

Duong

Nguyen

et al. 2022

International Journal of Production Economics

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“…Model-based approaches for diagnosis have been predominantly used and purposed for CBM implementation, due to their intuitive engineering approach. This includes identification of sensor set optimisation, followed by calculation of the difference between sensor data and model data to isolate fault occurrences at sub-system level [4][5][6]. A simulation model that can accurately capture the physics and engineering of the PACK at subsystem level, under a wide range of functional scenarios, is required, both to focus maintenance activities and reduce cost.…”

Section: Accepted Manuscript N O T C O P Y E D I T E D 1 Introductionmentioning

confidence: 99%

Boeing 737-400 Passenger Air Conditioner Control System Model for Accurate Fault Simulation

Chowdhury

Ali

Jennions

2022

Journal of Thermal Science and Engineering Applications

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This paper is a continuation of the authors' work on the development of a systematically derived PACK simulation for accurate fault diagnostics, utilising a model-based approach. In practise the PACK simulation accuracy is dependent on a number of factors, which include the understanding of its control system. This paper addresses this by taking an in-depth look at the factors controlling the operation of the PACK in order to enable the gap between the theoretical understanding of the PACK and the engineering design of the system to be bridged, and accurate simulations under healthy and degraded scenarios obtained. The paper provides a comprehensive explanation of the PACK control system elements (principally valves) and verifies their operation based on experimental test data acquired from a B737-400 aircraft. A discussion of the control used in the simulation is then given, resulting in the correct temperature, pressure and flow being delivered to the cabin. The overall simulation results are then presented to demonstrate the importance of employing a systematically derived control logic. They are then further used to assess the impact of degradation in the main PACK valves.

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A Generalised Methodology for the Diagnosis of Aircraft Systems

Cited by 21 publications

References 21 publications

Platform health management for aircraft maintenance – a review

Platform health management for aircraft maintenance – a review

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Boeing 737-400 Passenger Air Conditioner Control System Model for Accurate Fault Simulation

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