تصفح حسب الموضوع "fault detection"
السجلات المعروضة 1 -- 5 من 5
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Event-triggered fault detection for discrete-time LPV systems with application to a laboratory tank system
( John Wiley and Sons Ltd , 2018 , Article)This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic systems characterized by linear parameter-varying models. An event-based linear parameter-varying observer is presented ... -
Event-triggered simultaneous fault detection and tracking control for multi-agent systems
( Taylor and Francis Ltd. , 2019 , Article)The main aim of this study is to design distributed simultaneous fault detection and control units for multi-agent systems subject to limited communication and energy resources. For this purpose, each agent is equipped ... -
An Improved Quality Inspection of Engine Bearings Using Machine Vision Systems
( American Society for Testing and Materials , 2022 , Article)The growth of an industry is mostly based on the quality of the product. When there is a fault in the manufactured product in a batch, the entire batch is rejected because of a single faulty product. Quality has become one ... -
Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
( American Society of Mechanical Engineers (ASME) , 2017 , Article)This paper compares and evaluates the performance of two major feature selection and fault identification methods utilized for the condition monitoring (CM) of centrifugal equipment, namely fast Fourier transform (FFT)-based ... -
Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Automated early detection and identification of switch faults are essential in high-voltage applications. Modular multilevel converter (MMC) is a new and promising topology for such applications. MMC is composed of many ...