Browsing by Author "Emmanouilidis, Christos"

Browsing by Author "Emmanouilidis, Christos"

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  • A Design Approach to IoT Endpoint Security for Production Machinery Monitoring 
    Tedeschi, Stefano; Emmanouilidis, Christos; Mehnen, Jörn; Roy, Rajkumar (Cranfield University, 2019-05-22)
    The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the ...
  • Change detection in streaming data analytics: a comparison of Bayesian online and martingale approaches 
    Namoano, Bernadin; Emmanouilidis, Christos; Ruiz-Carcel, Cristobal; Starr, Andrew G. (Elsevier, 2020-12-18)
    On line change detection is a key activity in streaming analytics, which aims to determine whether the current observation in a time series marks a change point in some important characteristic of the data, given the ...
  • Context ontology development for connected maintenance services 
    Emmanouilidis, Christos; Gregori, Matteo; Al-Shdifat, Ali (Elsevier, 2020-11-30)
    The opportunity to shift from corrective and preventive to data-driven Predictive Maintenance has received a significant boost with the deeper penetration of Internet of Things (IoT) technologies in industrial environments. ...
  • Context-based and human-centred information fusion in diagnostics 
    Emmanouilidis, Christos; Pistofidis, Petros; Fournaris, Apostolos; Bevilacqua, Maurizio; Durazo-Cardenas, Isidro; Botsaris, Pantelis N.; Katsouros, Vassilis; Koulamas, Christos; Starr, Andrew G. (Elsevier, 2016-12-16)
    Maintenance management and engineering practice has progressed to adopt approaches which aim to reach maintenance decisions not by means of pre-specified plans and recommendations but increasingly on the basis of best ...
  • A cost estimation approach for IoT modular architectures implementation in legacy systems 
    Tedeschi, Stefano; Emmanouilidis, Christos; Erkoyuncu, John Ahmet; Rodrigues, Duarte Polonia; Roy, Rajkumar; Starr, Andrew (Elsevier, 2018-02-08)
    Industry 4.0 has encouraged manufacturing organisations to update their systems and processes by implementing Internet of Things (IoT) technology in legacy systems to provide new services such as autonomous condition ...
  • Cyber-physical systems for performance monitoring in production intralogistics 
    Mörth, O.; Emmanouilidis, Christos; Hafner, N.; Schadler, M. (Elsevier, 2020-02-01)
    The realization of a higher business value in manufacturing requires optimized internal logistics systems in terms of operational performance, uptime and sustainability. This paper deals with the introduction of Internet ...
  • Data-driven wheel slip diagnostics for improved railway operations 
    Namoano, Bernadin; Ruiz-Carcel, Cristobal; Emmanouilidis, Christos; Starr, Andrew G. (Elsevier, 2022-09-27)
    Wheel slip activity detection is crucial in railway maintenance, as it can contribute to avoiding wheel damage but also track deteriorations leading to significant maintenance costs, trains delays, as well as the risk of ...
  • A decision-making framework for the design of local production networks under largescale disruptions 
    Haddad, Yousef; Salonitis, Konstantinos; Emmanouilidis, Christos (Elsevier, 2021-11-03)
    In this paper, a model-based decision-making framework for the design of localized networked production systems under largescale disruptions is developed. The framework consists of optimization and agent-based simulation ...
  • A design approach to IoT endpoint security for production machinery monitoring 
    Tedeschi, Stefano; Emmanouilidis, Christos; Mehnen, Jorn; Roy, Rajkumar (MDPI, 2019-05-16)
    The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the ...
  • Design of emergency response manufacturing networks: a decision-making framework 
    Haddad, Yousef; Salonitis, Konstantinos; Emmanouilidis, Christos (Elsevier, 2021-02-10)
    In times of large-scale crises, seemingly streamlined supply chains could become prone to unforeseen disruptions, leading to interruption in the provision of vital supplies. This could lead to severe consequences if such ...
  • Design of redistributed manufacturing networks: a model-based framework 
    Haddad, Yousef (Cranfield UniversitySATM, 2020-10)
    Throughout the last century, manufacturing has been characterised by mass production conducted in central facilities, benefitting from economies-of-scale. These central facilities supply, and are supplied by sprawling, ...
  • Design of redistributed manufacturing systems: a model-based decision-making framework 
    Haddad, Yousef; Salonitis, Konstantinos; Emmanouilidis, Christos (Taylor & Francis, 2021-08-06)
    In this paper, a decision-making framework for the design of redistributed manufacturing (RdM) networks is developed. Redistributed manufacturing, a manufacturing paradigm greatly empowered by the Industry 4.0 toolset, is ...
  • Development of a context-aware internet of things framework for remote monitoring services 
    Al-Shdifat, Ali M. A. (Cranfield UniversitySATM, 2020-12)
    Asset management is concerned with the management practices necessary to maximise the value delivered by physical engineering assets. Internet of Things (IoT)-generated data are increasingly considered as an asset and ...
  • A digital maintenance practice framework for circular production of automotive parts 
    Turner, Christopher J.; Okorie, O.; Emmanouilidis, Christos; Oyekan, J. (Elsevier, 2020-12-18)
    The adoption of the Circular Economy paradigm by industry leads to increased responsibility of manufacturing to ensure a holistic awareness of the environmental impact of its operations. In mitigating negative effects in ...
  • Digital technology enablers for resilient and customer driven food value chains 
    Emmanouilidis, Christos; Bakalis, Serafim (Springer, 2020-08-25)
    Food production chains have to respond to disrupted global markets and dynamic customer demands. They are coming under pressure to move from a supply to a demand-driven business model. The inherent difficulties in the ...
  • Doors datasets 
    Namoano, Bernadin; Starr, Andrew; Emmanouilidis, Christos; Ruiz Carcel, Cristobal (Cranfield University, 2020-08-18)
    Data represents urban train condition monitoring raw data. Data contains, current and door motions during opening and closing periods.
  • Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems 
    Emmanouilidis, Christos; Pistofidis, Petros; Bertoncelj, Luka; Katsouros, Vassilis; Fournaris, Apostolos; Koulamas, Christos; Ruiz-Carcel, Cristobal (Elsevier, 2019-03-19)
    Industrial Cyber-Physical Systems have benefitted substantially from the introduction of a range of technology enablers. These include web-based and semantic computing, ubiquitous sensing, internet of things (IoT) with ...
  • Engines datasets 
    Namoano, Bernadin; Starr, Andrew; Emmanouilidis, Christos; Ruiz Carcel, Cristobal (Cranfield University, 2020-08-18)
    Data represents urban DMU trains engines condition monitoring data.
  • Framework to assess the maturity level of learning analytics in higher education and drive learning services improvement 
    Alenezi, Abdullah (Cranfield UniversitySATM, 2020-05)
    This research was aimed at developing a framework that could be utilised to assess the maturity level of learning analytics (LA) in virtual learning environment (VLE) in higher education institutions (HEI). The assessment ...
  • Generalised network architectures for environmental sensing: case studies for a digitally enabled environment 
    Mead, Mohammed Iqbal; Bevilacqua, M.; Loiseaux, C.; Hallett, Stephen H.; Jude, Simon; Emmanouilidis, Christos; Harris, Jim A.; Leinster, Paul; Mutnuri, S.; Tran, Trung Hieu; Williams, Leon (Elsevier, 2022-04-08)
    A digitally enabled environment is a setting which incorporates sensors coupled with reporting and analytics tools for understanding, observing or managing that environment. Large scale data collection and analysis are a ...