Murat Yasar

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Symbolic Dynamic Filtering (SDF) has been recently reported in literature as a pattern recognition tool for early detection of anomalies (i.e., deviations from the nominal behavior) in complex dynamical systems. This paper presents a comparative evaluation of SDF relative to other classes of pattern recognition tools, such as Bayesian Filters and Artificial(More)
This paper presents an application of the recently developed theory of optimal Discrete Event Supervisory (DES) control that is based on a signed real measure of regular languages. The DES control techniques are validated on an aircraft gas turbine engine simulation test bed. The test bed is implemented on a networked computer system in which two computers(More)
*Correspondence: Soumik Sarkar , Department of Mechanical Engineering, The Iowa State University Ames, IA 50011, USA e-mail: soumiks@iastate.edu This paper proposes a feature extraction and fusion methodology to perform fault detection and classification in distributed physical processes generating heterogeneous data. The underlying concept is built upon a(More)
This paper presents a comparison of different pattern recognition algorithms to identify slow time scale anomalies for health management of aircraft gas turbine engines. A new tool of anomaly detection, based on Symbolic Dynamics and Information Theory, is compared with traditional pattern recognition tools of Principal Component Analysis (PCA) and(More)
This report presents an application of the recently developed theory of optimal Discrete Event Supervisory (DES) control that is based on a signed real measure of regular languages. The DES control techniques are validated on an aircraft gas turbine engine simulation test bed. The test bed is implemented on a networked computer system in which two computers(More)
This paper presents the development of a simulation test bed for a command, control, computer, communication, intelligence, surveillance and reconnaissance (CISR) system. The test bed features coordination of a rotorcraft unmanned aerial vehicle (RUAV) and multiple unmanned ground vehicles (UGVs) by integrating a high-fidelity rotorcraft model with actual(More)
This paper presents an application of the recently developed theory of language-measure-based discrete event supervisory (DES) control to aircraft propulsion systems. A two-layer hierarchical architecture is proposed to coordinate the operations of a twin-engine propulsion system. The two engines are individually controlled to achieve enhanced performance(More)
This paper presents results of lab and field evaluations of an Automatic Fault Detection and Diagnostics (AFDD) technology for advanced RTUs that provide cooling of small and medium commercial buildings. The primary focus of the technology is detecting overall performance degradation (COP and capacity) resulting from single and multiple faults. High(More)