The Experts below are selected from a list of 6531 Experts worldwide ranked by ideXlab platform

Edward Sazonov - One of the best experts on this subject based on the ideXlab platform.

  • Wireless Intelligent Sensor and actuator network - A scalable platform for time-synchronous applications of structural health monitoring
    Structural Health Monitoring, 2010
    Co-Authors: Edward Sazonov, Vidya Krishnamurthy, Robert Schilling
    Abstract:

    Wireless Sensor networks have attracted attention as a possible solution for applications of periodic and continuous structural health monitoring. Ensuring synchronous data acqui- sition across wireless nodes in large networks of Sensors spatially distributed on a structure is of critical importance for many methods of structural health monitoring, especially those based on analysis of vibration. In this article we present a novel Wireless Intelligent Sensor and Actuator Network (WISAN) addressing the issue of scalability for applications of struc- tural health monitoring. We also present a novel time synchronization algorithm that can keep the synchronization error between any number of globally distributed Sensors nodes less than Æ23 ms. We show proof of stability for the time synchronization algorithm. We validate WISAN in laboratory experiments, testing the actual time synchronization between randomly selected Sensors in a complex network. Finally, we validate WISAN in a field experiment by reconstructing mode shapes of a highway bridge.

  • Scientific data acquisition for structural health monitoring by using wireless Intelligent Sensor
    European Journal of Scientific Research, 2009
    Co-Authors: Mustafa Jamil, Vandana Krishnamurthy, Edward Sazonov, Muhammad Fauzi Mohd. Zain, M T Ismail
    Abstract:

    Structural health monitoring is a compulsory maintenance routine to structural elements such as highway overpasses, buildings, retaining walls, bridges and roads. Scientific data-acquisition systems make reliable structural measurements, even in inaccessible and harsh environments by using wireless Intelligent Sensor. With advances in Sensor technology and availability of low cost integrated circuits, a wireless monitoring Sensor network has been considered to be the new generation technology for structural health monitoring. Wireless Intelligent Sensor and Actuator Network (WISAN) has hence been developed as a vibration based structural monitoring network that allows extraction of mode shapes from output-only vibration data from a structure. The mode shape information can further be used in modal methods of damage detection. This network has been tested on a pre-stressed concrete bridge in Kuala Lumpur, Malaysia. The results have been compared with a similar sized steel girder bridge. -® EuroJournals Publishing, Inc. 2009

  • Performance testing of wireless Intelligent Sensor and actuator network (WISAN) on a pre-stressed concrete bridge
    Mathematical methods computational techniques non-linear systems intelligent systems, 2008
    Co-Authors: Muhammad Fauzi Mohd. Zain, Vandana Krishnamurthy, Mustafa Jamil, Edward Sazonov, I M Taib
    Abstract:

    With advances in Sensor technology and availability of low cost integrated circuits, a wireless monitoring Sensor network has been considered to be the new generation technology for structural health monitoring. Wireless Intelligent Sensor and Actuator Network (WISAN) has hence been developed as a vibration based structural monitoring network that allows extraction of mode shapes from output-only vibration data from a structure. The mode shape information can further be used in modal methods of damage detection. This network has been tested on a pre-stressed concrete bridge in Kuala Lumpur, Malaysia. The results have been compared with a similar sized steel girder bridge

  • wireless Intelligent Sensor network for autonomous structural health monitoring
    Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems, 2004
    Co-Authors: Edward Sazonov, Kerop D Janoyan
    Abstract:

    Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the long-term operational cost and safety of aging structures. The widespread use of Structural Health Monitoring (SHM) systems is limited due to unavailability of specialized data acquisition equipment, high cost of generic equipment, and absence of fully automatic decision support systems. The goals of the presented project include: first, design of a Wireless Intelligent Sensor and Actuator Network (WISAN) and creation of an inexpensive set of instrumentation for the tasks of structural health monitoring; second, development of a SHM method, which is suitable for autonomous structural health monitoring. The design of the wireless Sensor network is aimed at applications of structural health monitoring, addressing the issues of achieving a low cost per Sensor, higher reliability, sources of energy for the network nodes, energy-efficient distribution of the computational load, security and coexistence in the ISM radio bands. The practical applicability of the Sensor network is increased through utilization of computational intelligence and support of signal generation capabilities. The automated SHM method is based on the method of modal strain energy, though other SHM methods will be supported as well. The automation tasks include automation of the modal identification through ambient vibrations, classification of the acquired mode shapes, and automatic evaluation of the structural health.

Robert Schilling - One of the best experts on this subject based on the ideXlab platform.

  • Wireless Intelligent Sensor and actuator network - A scalable platform for time-synchronous applications of structural health monitoring
    Structural Health Monitoring, 2010
    Co-Authors: Edward Sazonov, Vidya Krishnamurthy, Robert Schilling
    Abstract:

    Wireless Sensor networks have attracted attention as a possible solution for applications of periodic and continuous structural health monitoring. Ensuring synchronous data acqui- sition across wireless nodes in large networks of Sensors spatially distributed on a structure is of critical importance for many methods of structural health monitoring, especially those based on analysis of vibration. In this article we present a novel Wireless Intelligent Sensor and Actuator Network (WISAN) addressing the issue of scalability for applications of struc- tural health monitoring. We also present a novel time synchronization algorithm that can keep the synchronization error between any number of globally distributed Sensors nodes less than Æ23 ms. We show proof of stability for the time synchronization algorithm. We validate WISAN in laboratory experiments, testing the actual time synchronization between randomly selected Sensors in a complex network. Finally, we validate WISAN in a field experiment by reconstructing mode shapes of a highway bridge.

N.m. White - One of the best experts on this subject based on the ideXlab platform.

  • an electromagnetic vibration powered generator for Intelligent Sensor systems
    Sensors and Actuators A-physical, 2004
    Co-Authors: Peter Glynnejones, Michael J. Tudor, Steve Beeby, N.m. White
    Abstract:

    This paper describes the design of miniature generators capable of converting ambient vibration energy into electrical energy for use in powering Intelligent Sensor systems. Such a device acts as the power supply of a microsystem which can be used in inaccessible areas where wires can not be practically attached to provide power or transmit Sensor data. Two prototypes of miniature generator are described and experimental results presented. Prototype A is based around two magnets coupled to a coil attached to a cantilever; prototype B is based around four magnets. For prototype A, experimental results are given for its resonant frequency and its open circuit and loaded output as a function of vibration amplitude. For prototype B, experimental results are given for the generator's Q factor in air and vacuum, its output voltage as a function of vibration amplitude as well as its magnetic field strength. This generator has been tested on a car engine and shown to produce a peak power of 3.9 mW with an average power of 157 micro watts.

  • An electromagnetic, vibration-powered generator for Intelligent Sensor systems
    Sensors and Actuators A: Physical, 2004
    Co-Authors: Peter Glynne-jones, Michael J. Tudor, Steve Beeby, N.m. White
    Abstract:

    This paper describes the design of miniature generators capable of converting ambient vibration energy into electrical energy for use in powering Intelligent Sensor systems. Such a device acts as the power supply of a microsystem which can be used in inaccessible areas where wires can not be practically attached to provide power or transmit Sensor data. Two prototypes of miniature generator are described and experimental results presented. Prototype A is based around two magnets coupled to a coil attached to a cantilever; prototype B is based around four magnets. For prototype A, experimental results are given for its resonant frequency and its open circuit and loaded output as a function of vibration amplitude. For prototype B, experimental results are given for the generator's Q factor in air and vacuum, its output voltage as a function of vibration amplitude as well as its magnetic field strength. This generator has been tested on a car engine and shown to produce a peak power of 3.9 mW with an average power of 157 μW. © 2003 Elsevier B.V. All rights reserved.

  • Intelligent Sensor systems
    1994
    Co-Authors: J E Brignell, N.m. White
    Abstract:

    Signals and systems physical principles of sensing electronic measurement techniques enabling technologies Intelligent Sensor concepts communication and Sensor networks physical realizations.

Vidya Krishnamurthy - One of the best experts on this subject based on the ideXlab platform.

  • Wireless Intelligent Sensor and actuator network - A scalable platform for time-synchronous applications of structural health monitoring
    Structural Health Monitoring, 2010
    Co-Authors: Edward Sazonov, Vidya Krishnamurthy, Robert Schilling
    Abstract:

    Wireless Sensor networks have attracted attention as a possible solution for applications of periodic and continuous structural health monitoring. Ensuring synchronous data acqui- sition across wireless nodes in large networks of Sensors spatially distributed on a structure is of critical importance for many methods of structural health monitoring, especially those based on analysis of vibration. In this article we present a novel Wireless Intelligent Sensor and Actuator Network (WISAN) addressing the issue of scalability for applications of struc- tural health monitoring. We also present a novel time synchronization algorithm that can keep the synchronization error between any number of globally distributed Sensors nodes less than Æ23 ms. We show proof of stability for the time synchronization algorithm. We validate WISAN in laboratory experiments, testing the actual time synchronization between randomly selected Sensors in a complex network. Finally, we validate WISAN in a field experiment by reconstructing mode shapes of a highway bridge.

Kyrre Glette - One of the best experts on this subject based on the ideXlab platform.

  • Design of an adaptive interval type-2 fuzzy logic controller for the position control of a servo system with an Intelligent Sensor
    2010 IEEE World Congress on Computational Intelligence WCCI 2010, 2010
    Co-Authors: Erdal Kayacan, R. Abiyev, J. Toørresen, M. Hoøvin, Okyay Kaynak, Kyrre Glette
    Abstract:

    Type-2 fuzzy logic systems are proposed as an alternative solution in the literature when a system has a large amount of uncertainties and type-1 fuzzy systems come to the limits of their performances. In this study, an adaptive type-2fuzzy-neuro system is designed for the position control of a servo system with an Intelligent Sensor. The Sensor gives different resistance values with respect to the stretch of it, and it is supposed to be used in an robotic arm position measurement system. These kinds of Sensors can be used in human-assistance robots that have soft surfaces in order not to damage the humans. However, these Sensors have time-varying gains and uncertainties that are not very easy to handle. Moreover, they generally have a hysteresis on their input-output relations. The simulation results show that the control algorithm developed gives better performances when compared to conventional type- 1 fuzzy controllers on such a highly nonlinear, uncertain system. © 2010 IEEE.