A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments (Record no. 100760)

000 -LEADER
fixed length control field 03798nam a22004695i 4500
001 - CONTROL NUMBER
control field 978-1-4471-4060-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083237.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120420s2012 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447140603
-- 978-1-4471-4060-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4471-4060-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Terzic, Edin.
Relator term author.
245 12 - TITLE STATEMENT
Title A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Medium [electronic resource] /
Statement of responsibility, etc by Edin Terzic, Jenny Terzic, Romesh Nagarajah, Muhammad Alamgir.
264 #1 -
-- London :
-- Springer London,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 138p. 95 illus., 19 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
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-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1 Introduction -- Chapter 2 Capacitive Sensing Technology -- Chapter 3 Fluid Level Sensing Using Artificial Neural Networks -- Chapter 4 Methodology -- Chapter 5 Experimentation -- Chapter 6 Results -- Chapter 7 Discussion -- Chapter 8 Conclusions and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions.   In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurement in dynamic environments using neural network approach useful.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Hydraulic engineering.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering Fluid Dynamics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Measurement Science and Instrumentation.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Terzic, Jenny.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nagarajah, Romesh.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Alamgir, Muhammad.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447140597
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4060-3
912 ## -
-- ZDB-2-ENG

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