The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Michele Compare - One of the best experts on this subject based on the ideXlab platform.

  • Reliability model of a Component equipped with PHM capabilities
    Reliability Engineering and System Safety, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    We propose an analytic, time-variant model that conservatively evaluates the increase in reliability achievable when a Component is equipped with a Prognostics and Health Management system of known performance metrics. The reliability model builds on metrics of literature and is applicable to different industrial contexts. A simulated case study concerning crack propagation in a Mechanical Component is considered to validate the proposed model.

  • Availability Model of a PHM-Equipped Component
    IEEE Transactions on Reliability, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    A variety of prognostic and health management (PHM) algorithms have been developed in the last years and some metrics have been proposed to evaluate their performances. However, a general framework that allows us to quantify the benefit of PHM depending on these metrics is still lacking. We propose a general, time-variant, analytical model that conservatively evaluates the increase in system availability achievable when a Component is equipped with a PHM system of known performance metrics. The availability model builds on metrics of literature and is applicable to different contexts. A simulated case study is presented concerning crack propagation in a Mechanical Component. A simplified cost model is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance.

  • Evaluating maintenance policies by quantitative modeling and analysis
    Reliability Engineering & System Safety, 2013
    Co-Authors: Enrico Zio, Michele Compare
    Abstract:

    The growing importance of maintenance in the evolving industrial scenario and the technological advancements of the recent years have yielded the development of modern maintenance strategies such as the condition-based maintenance (CBM) and the predictive maintenance (PrM). In practice, assessing whether these strategies really improve the maintenance performance becomes a fundamental issue. In the present work, this is addressed with reference to an example concerning the stochastic crack growth of a generic Mechanical Component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy.

Enrico Zio - One of the best experts on this subject based on the ideXlab platform.

  • Reliability model of a Component equipped with PHM capabilities
    Reliability Engineering and System Safety, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    We propose an analytic, time-variant model that conservatively evaluates the increase in reliability achievable when a Component is equipped with a Prognostics and Health Management system of known performance metrics. The reliability model builds on metrics of literature and is applicable to different industrial contexts. A simulated case study concerning crack propagation in a Mechanical Component is considered to validate the proposed model.

  • Availability Model of a PHM-Equipped Component
    IEEE Transactions on Reliability, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    A variety of prognostic and health management (PHM) algorithms have been developed in the last years and some metrics have been proposed to evaluate their performances. However, a general framework that allows us to quantify the benefit of PHM depending on these metrics is still lacking. We propose a general, time-variant, analytical model that conservatively evaluates the increase in system availability achievable when a Component is equipped with a PHM system of known performance metrics. The availability model builds on metrics of literature and is applicable to different contexts. A simulated case study is presented concerning crack propagation in a Mechanical Component. A simplified cost model is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance.

  • Evaluating maintenance policies by quantitative modeling and analysis
    Reliability Engineering & System Safety, 2013
    Co-Authors: Enrico Zio, Michele Compare
    Abstract:

    The growing importance of maintenance in the evolving industrial scenario and the technological advancements of the recent years have yielded the development of modern maintenance strategies such as the condition-based maintenance (CBM) and the predictive maintenance (PrM). In practice, assessing whether these strategies really improve the maintenance performance becomes a fundamental issue. In the present work, this is addressed with reference to an example concerning the stochastic crack growth of a generic Mechanical Component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy.

Fabio Esposito - One of the best experts on this subject based on the ideXlab platform.

  • Changes in the electroMechanical delay Components during a fatiguing stimulation in human skeletal muscle: an EMG, MMG and force combined approach
    European Journal of Applied Physiology, 2017
    Co-Authors: Susanna Rampichini, Elena Monti, Massimo Venturelli, Eloisa Limonta, Fabio Esposito
    Abstract:

    Purpose Peripheral fatigue involves electrochemical and Mechanical mechanisms. An electromyographic, mechanomyographic and force combined approach may permit a kinetic evaluation of the changes at the synaptic, skeletal muscle fiber, and muscle–tendon unit level during a fatiguing stimulation. Methods Surface electromyogram, mechanomyogram, force and stimulation current were detected from the gastrocnemius medialis muscle in twenty male participants during a fatiguing stimulation (twelve blocks of 35 Hz stimulations, duty cycle 9 s on/1 s off, duration 120 s). The total electroMechanical delay and its three Components (between stimulation current and electromyogram, synaptic Component; between electromyogram and mechanomyogram signal onset, muscle fiber electrochemical Component, and between mechanomyogram and force signal onset, Mechanical Component) were calculated. Interday reliability and sensitivity were determined. Results After fatigue, peak force decreased by 48% ( P  

Luca Bellani - One of the best experts on this subject based on the ideXlab platform.

  • Reliability model of a Component equipped with PHM capabilities
    Reliability Engineering and System Safety, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    We propose an analytic, time-variant model that conservatively evaluates the increase in reliability achievable when a Component is equipped with a Prognostics and Health Management system of known performance metrics. The reliability model builds on metrics of literature and is applicable to different industrial contexts. A simulated case study concerning crack propagation in a Mechanical Component is considered to validate the proposed model.

  • Availability Model of a PHM-Equipped Component
    IEEE Transactions on Reliability, 2017
    Co-Authors: Michele Compare, Luca Bellani, Enrico Zio
    Abstract:

    A variety of prognostic and health management (PHM) algorithms have been developed in the last years and some metrics have been proposed to evaluate their performances. However, a general framework that allows us to quantify the benefit of PHM depending on these metrics is still lacking. We propose a general, time-variant, analytical model that conservatively evaluates the increase in system availability achievable when a Component is equipped with a PHM system of known performance metrics. The availability model builds on metrics of literature and is applicable to different contexts. A simulated case study is presented concerning crack propagation in a Mechanical Component. A simplified cost model is used to compare the performance of predictive maintenance based on PHM with corrective and scheduled maintenance.

Wen Yan - One of the best experts on this subject based on the ideXlab platform.

  • Design of Shear Strain Testing System Based on Electromagnetic Testing
    Nondestructive Testing, 2006
    Co-Authors: Wen Yan
    Abstract:

    Conventional strain-gauge method can not satisfy the measurement of the strain of Mechanical Component for its contacting pattern. Non-contact real-time on-line quantitative testing of the shear strain of the Component twisted based on electromagnetic testing was put forward. AT89C52 based and angular strain testing system was designed. The system function, hardware structure and software design were also given. Simulation experiment showed that the system could provide reliable and accurate testing and was valuable for practical application.

  • Quantitative Check-Measure of Linear Strain of Mechanical Component
    Mechanical Science and Technology, 2004
    Co-Authors: Wen Yan
    Abstract:

    We first paper introduce the principle of the quantitative check-measure based on equispaced magnetic field of linear strain of Mechanical Component. Then based on the processing of detected signal and the conversion of obtained wave, we propose converting the detection of linear strain of Mechanical Component to the calculation of total time of the wave and the calculation formula are given.