Residual Life Estimation of a Fabricated Humidity Sensor Using AI: Alum-Carbon based humidity sensor: Its Fabrication and Residual Life Prediction using Artificial Intelligence Techniques - Couverture souple

Bhargava, Cherry; Sharma, Pardeep; Aggarwal, Jaya

 
9786139842995: Residual Life Estimation of a Fabricated Humidity Sensor Using AI: Alum-Carbon based humidity sensor: Its Fabrication and Residual Life Prediction using Artificial Intelligence Techniques
Couverture souple
ISBN 10 : 6139842999 ISBN 13 : 9786139842995
Editeur : LAP Lambert Academic Publishing, 2018

Synopsis

From daily life applications to military applications and from toys to satellites, the use of electronic components is in extensive. Due to rapid evolution of electronics device technology towards low cost and high performance, the electronics products become more complex, higher in density and speed, and lighter for easy portability. Reliability prediction of the electronic components used in industrial safety systems requires high accuracy and compatibility with the working environment. The user can replace faulty component with the accurate one, and system will be saved from complete shutdown. Using low-cost materials, carbon, and potash alum, a new solid composite electrolyte system was fabricated and characterized using various techniques. An Arrhenius behavior was reported when the temperature dependence of conductivity was analyzed. The synthesized solid composite electrolyte exhibited excellent humidity sensing behavior. An expert system was modeled using artificial intelligence techniques and failure of the sensor was predicted using artificial neural networks (ANN), fuzzy logic (FIS) an adaptive neuro-fuzzy inference system (ANFIS).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

From daily life applications to military applications and from toys to satellites, the use of electronic components is in extensive. Due to rapid evolution of electronics device technology towards low cost and high performance, the electronics products become more complex, higher in density and speed, and lighter for easy portability. Reliability prediction of the electronic components used in industrial safety systems requires high accuracy and compatibility with the working environment. The user can replace faulty component with the accurate one, and system will be saved from complete shutdown. Using low-cost materials, carbon, and potash alum, a new solid composite electrolyte system was fabricated and characterized using various techniques. An Arrhenius behavior was reported when the temperature dependence of conductivity was analyzed. The synthesized solid composite electrolyte exhibited excellent humidity sensing behavior. An expert system was modeled using artificial intelligence techniques and failure of the sensor was predicted using artificial neural networks (ANN), fuzzy logic (FIS) an adaptive neuro-fuzzy inference system (ANFIS).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6139842999
ISBN 13 
9786139842995
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
Personne responsable
non disponible