Skip to content
akaturk Academic measurement
Sign in Sign up

OpenAlex topic

Fault Detection and Control Systems

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 2,171 works 94 author topics

Works

2,171 works

  1. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 100.0%

    Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such fixed and hand-crafted features may be a suboptimal choice and require a significant computational c…

  2. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 100.0%

    Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such fixed and hand-crafted features may be a suboptimal choice and require a significant computational c…

  3. A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier 2019
    YÖKSİS SJR Q3 JCR Q4 OpenAlex top 1% OpenAlex 99.9%

    No abstract yet.

  4. Neural net robot controller with guaranteed tracking performance 1995
    YÖKSİS JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    A neural net (NN) controller for a general serial-link robot arm is developed. The NN has two layers so that linearity in the parameters holds, but the "net functional reconstruction error" and robot disturbance input are taken as nonzero. The structure of the NN controller is derived using a filtered error/passivity…

  5. Twenty Years of Mixture of Experts 2012
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss the fundamental models for regression and classification and also their training with the expectation-maximization algorithm. We follow the discussion with improvements to the ME model and focus particularly on the mixtures of…

  6. Predictive maintenance, its implementation and latest trends 2017
    YÖKSİS SJR Q1 JCR Q3 OpenAlex top 10% OpenAlex 98.7%

    This study covers new trends and techniques in the field of predictive maintenance, which has been superseding traditional management policies, at least in part. It also presents suggestions for how to implement a predictive maintenance programme in a factory/premise and so on. Predictive maintenance primarily involve…

  7. Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  8. Model predictive control for want of a local control Lyapunov function all is not lost 2005
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    We present stability results for unconstrained discrete-time nonlinear systems controlled using finite-horizon model predictive control (MPC) algorithms that do not require the terminal cost to be a local control Lyapunov function. The two key assumptions we make are that the value function is bounded by a K/sub /spl…

  9. Bearing Fault Detection by One-Dimensional Convolutional Neural Networks 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 98.8%

    Bearing faults are the biggest single source of motor failures. Artificial Neural Networks (ANNs) and other decision support systems are widely used for early detection of bearing faults. The typical decision support systems require feature extraction and classification as two distinct phases. Extracting fixed feature…

  10. Examples when nonlinear model predictive control is nonrobust 2004
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  11. A supervised machine learning algorithm for arrhythmia analysis 1997
    YÖKSİS OpenAlex top 10% OpenAlex 95.3%

    A new machine learning algorithm for the diagnosis of cardiac arrhythmia from standard 12 lead ECG recordings is presented. The algorithm is called VF15 for Voting Feature Intervals. VF15 is a supervised and inductive learning algorithm for inducing classification knowledge from examples. The input to VF15 is a traini…

  12. A supervised machine learning algorithm for arrhythmia analysis 2002
    OpenAlex top 10% OpenAlex 95.2%

    A new machine learning algorithm for the diagnosis of cardiac arrhythmia from standard 12 lead ECG recordings is presented. The algorithm is called VF15 for Voting Feature Intervals. VF15 is a supervised and inductive learning algorithm for inducing classification knowledge from examples. The input to VF15 is a traini…

Academicians

94 academicians