Couverture de Failure Prediction of Temperature Sensor Using Hybrid Neural Fuzzy
Titre du livre:

Failure Prediction of Temperature Sensor Using Hybrid Neural Fuzzy

LAP LAMBERT Academic Publishing (26-07-2018 )

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ISBN-13:

978-613-9-84718-1

ISBN-10:
6139847184
EAN:
9786139847181
Langue du livre:
Anglais
texte du rabat:
The growth of Electronic products becomes more complex due to a major requirement of high reliability, high speed and low cost. In today’s world, reliability becomes a great need of any electronic equipment for active as well as passive components such as a temperature sensor. Failure prediction is the major constraints to predict the remaining useful life of the component in order to anticipate the costly failures or system unavailability. In the modern competitive market, low cost and high performance are the key factors to attract the customers towards their products. Growing system complexity demands robust control to reduce system control and to reduce the successive failures. Reliability prediction of passive components especially temperature sensor is of great concern as these are required in almost every system. As these components are mounted on a board to form a complete system, the probability of damage is increased, as the different components have different characteristics and different operating conditions. So artificial intelligence techniques are used which adopt knowledge of failure mechanism of an individual part of the system and check the health condition of it.
Maison d'édition:
LAP LAMBERT Academic Publishing
Site Web:
https://www.lap-publishing.com/
de (auteur) :
Cherry Bhargava, Pardeep Sharma, Sahib Ali
Numéro de pages:
92
Publié le:
26-07-2018
Stock:
Disponible
Catégorie:
Physique, Astronomie
Prix:
54.90 €
Mots-clés:
Electronic Components, temperature sensor, thermocouples, Fuzzy inference system

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