New approach for performing failure analysis of fuel cell-powered vehicles

2009 ◽  
Vol 10 (6) ◽  
pp. 743-752 ◽  
Author(s):  
V. Motevalli ◽  
M. -S. Mohd
Keyword(s):  
Fuel Cell ◽  
Failure Analysis ◽  
New Approach

An Advanced Reliability Improvement and Failure Analysis Approach to Thermal Stress Issues in IC Packages

2009 ◽  
Author(s):  
Michael Hertl ◽  
Diane Weidmann ◽  
Alex Ngai
Keyword(s):  
Thermal Stress ◽  
Failure Analysis ◽  
Deformation Measurement ◽  
Stress Conditions ◽  
Analysis Approach ◽  
New Approach ◽  
Reliability Improvement

Abstract A new approach to reliability improvement and failure analysis on ICs is introduced, involving a specifically developed tool for Topography and Deformation Measurement (TDM) under thermal stress conditions. Applications are presented including delamination risk or bad solderability assessment on BGAs during JEDEC type reflow cycles.

New Approach of Laser-SQUID Microscopy to LSI Failure Analysis

2009 ◽  
Vol E92-C (3) ◽  
pp. 327-333 ◽  
Author(s):  
Kiyoshi NIKAWA ◽  
Shouji INOUE ◽  
Tatsuoki NAGAISHI ◽  
Toru MATSUMOTO ◽  
Katsuyoshi MIURA ◽  
...  
Keyword(s):  
Failure Analysis ◽  
New Approach

In situ back-side illumination fluorescence XAFS (BI-FXAFS) studies on platinum nanoparticles deposited on a HOPG surface as a model fuel cell: a new approach to the Pt-HOPG electrode/electrolyte interface

2014 ◽  
Vol 16 (27) ◽  
pp. 13748-13754 ◽  
Author(s):  
Hiromitsu Uehara ◽  
Yohei Uemura ◽  
Takafumi Ogawa ◽  
Kentaro Kono ◽  
Ryoichi Ueno ◽  
...  
Keyword(s):  
Fine Structure ◽  
Fuel Cell ◽  
Back Side ◽  
New Approach ◽  
X Ray ◽  
Model Fuel ◽  
Fluorescence Xafs ◽  
X Ray Absorption ◽  
Side Illumination

We measured the in situ polarization-dependent X-ray absorption fine structure of PtNPs deposited on a flat HOPG substrate.

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

Applying Interval Fuzzy Petri Net to Failure Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 14-30
Author(s):  
Lajmi Fatma ◽  
Jalel Ghabi ◽  
Hedi Dhouibi
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Petri Nets ◽  
Graphical Representation ◽  
Logic Gate ◽  
New Approach ◽  
Novel Method ◽  
Definition Of ◽  
Fuzzy Logic Technique ◽  
The Relationship

In this article, the authors propose a new approach for modelling and failure analysis by combining the graphical representation provided by Petri nets and fuzzy logic. The graphical method is used for describing the relationship between conditions and events. The use of Petri nets in failure analysis enables replacing logic gate functions in fault trees. The Fuzzy logic technique allows natural language descriptions of process entities as well as an if-then rule-based definition of production. In addition, this study devises an alternative, a trapezoidal graph method in order to account for failure scenarios. Examples validating this novel method in dealing with failure analysis are also provided.

Towards a wearable fuel cell sensor for transdermal monitoring of isoflurane – an anesthetic

2019 ◽  
Vol 11 (15) ◽  
pp. 2007-2012 ◽  
Author(s):  
Ahmed Hasnain Jalal ◽  
Yogeswaran Umasankar ◽  
Md Ashfaq Ahmed ◽  
Ernesto A. Pretto ◽  
Shekhar Bhansali
Keyword(s):  
Fuel Cell ◽  
Principal Component Regression ◽  
Principal Component ◽  
New Approach ◽  
Improve Accuracy

A wearable anesthetic sensor combined with principal component regression as a new approach to improve accuracy in the analytical field.

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