Browsing by Author "Jennions, Ian"

Browsing by Author "Jennions, Ian"

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  • Acoustic monitoring of an aircraft auxiliary power unit 
    Ahmed, Umair; Ali, Fakhre; Jennions, Ian (Elsevier, 2023-01-13)
    In this paper, the development and implementation of a novel approach for fault detection of an aircraft auxiliary power unit (APU) has been demonstrated. The developed approach aims to target the proactive identification ...
  • Aircraft predictive maintenance modeling using a hybrid imbalance learning approach 
    Dangut, Maren David; Skaf, Zakwan; Jennions, Ian (SSRN, 2020-10-26)
    The continued development of the industrial internet of things (IIoT) has caused an increase in the availability of industrial datasets. The massive availability of assets operational dataset has prompted more research ...
  • Aircraft system-level diagnosis with emphasis on maintenance decisions 
    Skliros, Christos; Ali, Fakhre; King, Steve; Jennions, Ian (SAGE, 2021-10-26)
    This paper proposes a diagnostic technique that can predict component degradation for a number of complex systems. It improves and clarifies the capabilities of a previously proposed diagnostic approach, by identifying the ...
  • Assessment of heat exchanger degradation in a Boeing 737-800 environmental control system  
    Jennions, Ian; Ali, Fakhre (ASME, 2021-04-02)
    There are a number of systems on an aircraft working together, in harmony, to produce safe and trouble free flight. The Environmental Control System (ECS) is one of these systems, and its failure is a major contributor to ...
  • A composite learning approach for multiple fault diagnosis in gears 
    Inyang, Udeme Ibanga; Petrunin, Ivan; Jennions, Ian (SAGE, 2022-11-05)
    A major part of Prognostic and Health Management of rotating machines is dedicated to diagnosis operations. This makes early and accurate diagnosis of single and multiple faults an economically important requirement of ...
  • Development and Implementation of a Framework for Aerospace Vehicle Reasoning (FAVER) 
    Ezhilarasu, Cordelia Mattuvarkuzhali; Jennions, Ian (IEEE, 2021-07-28)
    This paper discusses the development and implementation of the architecture of a Framework for A erospace Ve hicle R easoning, ‘FAVER’. Integrated Vehicle Health Management systems require a holistic view of the aircraft ...
  • Diagnosis of multiple faults in rotating machinery using ensemble learning 
    Inyang, Udeme Ibanga; Petrunin, Ivan; Jennions, Ian (MDPI, 2023-01-15)
    Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide verifiable support for condition-based maintenance (CBM) decision-making. Deep learning-enabled fault diagnosis operations ...
  • Evaluation of CAN bus security challenges 
    Bozdal, Mehmet; Samie, Mohammad; Aslam, Sohaib; Jennions, Ian (MDPI, 2020-04-21)
    The automobile industry no longer relies on pure mechanical systems; instead, it benefits from many smart features based on advanced embedded electronics. Although the rise in electronics and connectivity has improved ...
  • Evaluation of component level degradation in the Boeing 737-800 air cycle machine 
    Jennions, Ian; Ali, Fakhre (American Society of Mechanical Engineers, 2022-12-19)
    An aircraft is composed of several highly integrated and complex systems that enable it to deliver safe and comfortable flight. Its functionality is therefore strongly dependent on the safe operation of these systems within ...
  • Fault simulations and diagnostics for a Boeing 747 Auxiliary Power Unit 
    Skliros, Christos; Ali, Fakhre; Jennions, Ian (Elsevier, 2021-07-01)
    Health monitoring of aircraft systems is of great interest to aircraft manufacturers and operators because it minimises the aircraft downtime (due to avoiding unscheduled maintenance), which in turn reduces the operating ...
  • Hardware trojan enabled denial of service attack on CAN bus 
    Bozdal, Mehmet; Randa, Maulana; Samie, Mohammad; Jennions, Ian (Elsevier, 2018-11-02)
    The trend of technological advances in the vehicle industry illustrates that future cars would have added functionalities with smart features, better connectivity and autonomous behaviour. These naturally involve a higher ...
  • Health condition estimation of bearings with multiple faults by a composite learning-based approach 
    Inyang, Udeme; Petrunin, Ivan; Jennions, Ian (MDPI, 2021-06-28)
    Bearings are critical components found in most rotating machinery; their health condition is of immense importance to many industries. The varied conditions and environments in which bearings operate make them prone to ...
  • Intelligent fault diagnosis of an aircraft fuel system using machine learning - a literature review 
    Li, Jiajin; King, Stephen; Jennions, Ian (MDPI, 2023-04-16)
    The fuel system, which aims to provide sufficient fuel to the engine to maintain thrust and power, is one of the most critical systems in the aircraft. However, possible degradation modes, such as leakage and blockage, can ...
  • Progress towards a Framework for Aerospace Vehicle Reasoning (FAVER) 
    Ezhilarasu, Cordelia Mattuvarkuzhali; Skaf, Zakwan; Jennions, Ian (PHM Society, 2019-09-23)
    This paper proposes a reasoning framework to diagnose faults at the vehicle level in a complex machine like an aircraft. The current focus of Integrated Vehicle Health Management (IVHM) is on diagnosing and prognosing ...
  • A review of aircraft auxiliary power unit faults, diagnostics and acoustic measurem 
    Ahmed, Umair; Ali, Fakhre; Jennions, Ian (Elsevier, 2021-04-30)
    The Auxiliary Power Unit (APU) is an integral part of an aircraft, providing electrical and pneumatic power to various on-board sub-systems. APU failure results in delay or cancellation of a flight, accompanied by the ...
  • A review of model based and data driven methods targeting hardware systems diagnostics 
    Skliros, Christos; Miguez, Manuel Esperon; Fakhre, Ali; Jennions, Ian (PTDT, 2018-11-22)
    System health diagnosis serves as an underpinning enabler for enhanced safety and optimized maintenance tasks in complex assets. In the past four decades, a wide-range of diagnostic methods have been proposed, focusing ...
  • Signal processing of acoustic data for condition monitoring of an aircraft ignition system 
    Ahmed, Umair; Ali, Fakhre; Jennions, Ian (MDPI, 2022-09-19)
    Degradation of the ignition system can result in startup failure in an aircraft’s auxiliary power unit. In this paper, a novel acoustics-based solution that can enable condition monitoring of an APU ignition system was ...
  • Simulation of an aircraft environmental control system 
    Jennions, Ian; Ali, Fakhre; Miguez, Manuel Esperon; Escobar, Ignacio Camacho (Elsevier, 2020-01-09)
    The environmental control system of a civil aircraft is a major driver of maintenance. Legacy systems, such as those on the Boeing 737, are particularly at risk, as they are not instrumented for health management. These ...
  • A survey on CAN bus protocol: attacks, challenges, and potential solutions 
    Bozdal, Mehmet; Samie, Mohammad; Jennions, Ian (IEEE, 2019-03-07)
    The vehicles are equipped with electronic control units that control their functions. These units communicate with each other via in-vehicle communication protocols like CAN bus. Although CAN is the most common in-vehicle ...
  • Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM) 
    Ezhilarasu, Cordelia Mattuvarkuzhali; Skaf, Zakwan; Jennions, Ian (IEEE, 2019-11-28)
    Integrated Vehicle Health Management (IVHM) aims to support Condition-Based Maintenance (CBM) by monitoring, diagnosing, and prognosing the health of the host system. One of the technologies required by IVHM to carry out ...