Browsing by Author "Camci, Fatih"

Browsing by Author "Camci, Fatih"

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  • Filter clogging data collection for prognostics 
    Eker, Ömer Faruk; Camci, Fatih; Jennions, Ian K. (2013-12)
    Filtration is a critical process in many industrial systems to obtain the desired level of purification for liquids or gas. Air, fuel, and oil filters are the most common examples in industrial systems. Filter clogging is ...
  • General support vector representation machine for one-class classification of non-stationary classes 
    Camci, Fatih; Chinnam, R. B. (Elsevier Science B.V., Amsterdam., 2008-10-31)
    Novelty detection, also referred to as one-class classification, is the process of detecting 'abnormal' behavior in a system by learning the 'normal' behavior. Novelty detection has been of particular interest to researchers ...
  • Health-state estimation and prognostics in machining processes 
    Camci, Fatih; Chinnam, R. B. (IEEE, 2010-07-02)
    Failure mechanisms of electromechanical systems usually involve several degraded health-states. Tracking and forecasting the evolution of health-states and impending failures, in the form of remaining-useful-life (RUL), ...
  • A Hybrid Prognostic Methodology and its Application to Well-Controlled Engineering Systems 
    Eker, Ömer Faruk (Cranfield University, 2015-01)
    This thesis presents a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability. The presented prognostic methodology ...
  • A new hybrid prognostic methodology 
    Eker, Ömer Faruk; Camci, Fatih; Jennions, Ian K. (Prognostics and Health Management Society, 2019-03-08)
    Methodologies for prognostics usually centre on physics-based or data-driven approaches. Both have advantages and disadvantages, but accurate prediction relies on extensive data being available. For industrial applications ...
  • Robust kernel distance multivariate control chart using support vector principles 
    Camci, Fatih; Chinnam, R. B.; Ellis, R. D. (Taylor & Francis, 2012-01-24)
    It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular ...
  • A simple state-based prognostic model for railway turnout systems 
    Eker, Ömer Faruk; Camci, Fatih; Guclu, Adem; Yilboga, Halis; Sevkli, Mehmet; Baskan, Saim (IEEE Institute of Electrical and Electronics, 2010-05-31)
    The importance of railway transportation has been increasing in the world. Considering the current and future estimates of high cargo and passenger transportation volume in railways, prevention or reduction of delays due ...