Operational reliability of a fuzzy inference system in FPGA

Mohammed Bsiss

ISBN 10: 6208005167 / ISBN 13: 9786208005160

Published by Our Knowledge Publishing, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The credibility of a safety related system can be performed by a qualitative and quantitative analysis in order to associate a safety integrity level (SIL). These analyzes are based on international standards such as the IEC 61508 standard and the ISA standard. There are different methods to establish these types of analysis: Reliability Block Diagram (RBD), Fault Tree Analysis (FTA) , and and Markov Models . This book proposes the analysis of a safety fuzzy logic controller (SFLC) implemented in FPGA with 1 out of 2 (1oo2) architectures.Two evaluation methods are applied. We demonstrate how from hardware characteristics parameters, such as rate of dangerous detected and undetected failure , the diagnostic coverage, proof test interval and other parameters to calculate the average probability of dangerous failure on demand and consequently the determining the safety integrity level (SIL) for SFLC.

Seller Inventory # 9786208005160

Bibliographic Details

• Title: Operational reliability of a fuzzy inference system in FPGA
• Publisher: Our Knowledge Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208005167
• ISBN 13: 9786208005160
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 203 grams

About this title

Synopsis

The credibility of a safety related system can be performed by a qualitative and quantitative analysis in order to associate a safety integrity level (SIL). These analyzes are based on international standards such as the IEC 61508 standard and the ISA standard. There are different methods to establish these types of analysis: Reliability Block Diagram (RBD), Fault Tree Analysis (FTA) , and and Markov Models . This book proposes the analysis of a safety fuzzy logic controller (SFLC) implemented in FPGA with 1 out of 2 (1oo2) architectures.Two evaluation methods are applied. We demonstrate how from hardware characteristics parameters, such as rate of dangerous detected and undetected failure , the diagnostic coverage, proof test interval and other parameters to calculate the average probability of dangerous failure on demand and consequently the determining the safety integrity level (SIL) for SFLC.