Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structural Health Monitoring Using Neural Network Based Vibrational System Identification

Composite fabrication technologies now provide the means for producing high-strength, low-weight panels, plates, spars and other structural components which use embedded fiber optic sensors and piezoelectric transducers. These materials, often referred to as smart structures, make it possible to sense internal characteristics, such as delaminations or structural degradation. In this effort we u...

متن کامل

Hardware-accelerated wireless sensor network for distributed Structural Health Monitoring

Civil infrastructure objects are subject to safety-related issues such as increasing loads and extended service live. Costly manual inspections of these structures should therefore be supplemented by automated continuous monitoring. In this work, a hardwareaccelerated wireless sensor network built entirely with energy-efficient embedded components is proposed as the basis for a distributed stru...

متن کامل

Development of hardware system using temperature and vibration maintenance models integration concepts for conventional machines monitoring: a case study

This article describes the integration of temperature and vibration models for maintenance monitoring of conventional machinery parts in which their optimal and best functionalities are affected by abnormal changes in temperature and vibration values thereby resulting in machine failures, machines breakdown, poor quality of products, inability to meeting customers’ demand, poor inventory contro...

متن کامل

Hardware Neural Network Implementation of Tracking System

A neural network (NN) filter/target-tracking system has been developed as reported in [6]. The design accepts and inputs signal data to a noise/target classifier which uses spectral estimation techniques to distinguish noise from real targets. In that design, the NN is used to calculate the coefficients of an auto regressive linear predictive filter. The current evolution of that design invokes...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sensors

سال: 2020

ISSN: 1424-8220

DOI: 10.3390/s20185126