Verification of the EDA Concept Through an Assessment of Theoretical Failure Modes, Failure Mode Analysis, and Case Studies with Real Data

2013 ◽  
pp. 251-282
Author(s):  
Helen Strickland ◽  
Beth Morgan ◽  
J. David Christopher ◽  
Volker Glaab ◽  
Adrian Goodey ◽  
...  
Keyword(s):  
Case Studies ◽  
Failure Mode ◽  
Failure Modes ◽  
Real Data ◽  
Mode Analysis ◽  
Failure Mode Analysis

Case Study and Fault Modeling for Wrong Redundancy Evaluation on DRAM Devices

2007 ◽  
Author(s):  
Martin Versen ◽  
Dorina Diaconescu ◽  
Jerome Touzel
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Fault Modeling ◽  
Mode Analysis ◽  
Root Cause ◽  
Failure Mode Analysis

Abstract The characterization of failure modes of DRAM is often straight forward if array related hard failures with specific addresses for localization are concerned. The paper presents a case study of a bitline oriented failure mode connected to a redundancy evaluation in the DRAM periphery. The failure mode analysis and fault modeling focus both on the root-cause and on the test aspects of the problem.

A Correlation Model Based Failure Mode Analysis Method for Mechatronics Systems

2015 ◽  
Vol 727-728 ◽  
pp. 637-640
Author(s):  
Ying Liu ◽  
Zheng Hu ◽  
Shi Gang Zhang
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Mode Analysis ◽  
Correlation Model ◽  
Analysis Method ◽  
Failure Mode Analysis ◽  
The Relationship ◽  
Reasoning Technique

Failure mode analysis formechatronics systems has many problems in real applications in terms of excessivedependency on experience, lack of uniform description and tedious analysis work. In order to increaseits effectiveness, an automatic failure modes analysis framework is constructedand an extended fuzzy cognitive map is used as a reasoning technique toanalysis the effect of the failures. A function-failure correlation model witha standard description is adopted to describe the relationship between failuremodes and functions, so that designers and engineers from different fields cancomprehend and communicate within the same framework. Functional flows andfailure modes are defined as basic concepts in the fuzzy cognitive map, whichprovides an easy way to carry out an automatic cause and effect reasoning.

Failure Mode Analysis of Mechanical Systems at Conceptual Design Stage

2006 ◽  
Author(s):  
M. F. Wani ◽  
Muzamil Jan
Keyword(s):  
Failure Mode ◽  
Conceptual Design ◽  
Failure Modes ◽  
Mode Analysis ◽  
Design Stage ◽  
Component Failure ◽  
Conceptual Design Stage ◽  
Failure Mode Analysis ◽  
And Function ◽  
The Given

This paper presents a methodology for determining criticality of failure modes in mechanical system at conceptual design stage on the basis of functional and structural knowledge of the system, using statistical method ‘K-Clustering’. First of all component failure matrix (CF) is derived then its transpose is obtained. Then similarity matrix (SM) is obtained by pre-multiplying component failure matrix (CF) by its transpose. By adding each row corresponding to the given function and arranging the sums in ascending or descending order and selecting a range to determine critical failure modes. Prediction of critical failure modes during conceptual design stage using the component failure matrix (CF) and function component matrix (EC) matrices, the function failure mode matrix can be computed as EF = EC × CF.

Failure Mode Analysis for Column over Designed Ductile Frames

2007 ◽  
Vol 340-341 ◽  
pp. 1393-1398
Author(s):  
Yan Gang Zhao ◽  
Yue Feng Geng ◽  
Kazuhiro Yoshihara
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Plastic Hinge ◽  
Mode Analysis ◽  
Frame Structures ◽  
Identification Procedure ◽  
Design Factor ◽  
Collapse Mode ◽  
Failure Mode Analysis ◽  
External Loads

In ultimate asseismic design of ductile frame structures, plastic deformation and plastic hinge are generally permitted, and some preferred failure modes are often selected. It is an important problem that whether the designed structure collapses according to the designed failure mode, because of the large uncertainties included in external loads and member strength. In this paper, an identification procedure of failure modes for frame structures is developed, and the likely collapse modes of frame structures under uncertain load and member strength are investigated under assumption of normal distributed and non-normal distributed external loads and member strength. It is found that the occurrence order of likely collapse mode is much influenced by the distribution of the random variables. The occurrence order of collapse modes for column over designed structures are investigated and it is found that the increase of column over-design factor can effectively avoid the story collapse mode in probabilistic means.

Developing a new BWM-based GMAFMA approach for evaluation of potential risks and failure modes in production processes

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Milad Kolagar ◽  
Seyed Mohammad Hassan Hosseini ◽  
Ramin Felegari
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Raw Materials ◽  
Mode Analysis ◽  
Reliability Engineering ◽  
Content Type ◽  
Production Processes ◽  
Failure Mode Analysis ◽  
Potential Risks

PurposeNowadays, the risk assessment and reliability engineering of various production processes have become an inevitable necessity. Because if these risks are not going to be evaluated and no solution is going to be taken for their prevention, managing them would be really hard and costly in case of their occurrence. The importance of this issue is much higher in producing healthcare products due to their quality's direct impact on the health of individuals and society.Design/methodology/approachOne of the most common approaches of risk assessment is the failure mode and effects analysis (FMEA), which is facing some limitations in practice. In this research, a new generalized multi-attribute failure mode analysis approach has been proposed by utilizing the best–worst method and linguistic 2-tuple representation in order to evaluate the production process of hemodialysis solution in a case of Tehran, Iran.FindingsAccording to the results, entry of waste to the mixing tanker, impurity of raw materials and ingredients and fracture of the mixer screw have been identified as the most important potential failures. At last, the results of this research have been compared with the previous studies.Originality/valueSome reinforcement attributes have been added to the traditional FMEA attributes in order to improve the results. Also, the problems of identical weights for attributes, inaccuracy in experts' opinions and the uncertainties in prioritizing the potential failures were improved. Furthermore, in addition to the need for less comparative data, the proposed approach is more accurate and comprehensive in its results.

scholarly journals Micro versus Macro Shear Bond Strength Testing of Dentin-Composite Interface Using Chisel and Wireloop Loading Techniques

2021 ◽  
Vol 9 (12) ◽  
pp. 140
Author(s):  
Ahmed M. Ismail ◽  
Christoph Bourauel ◽  
Ahmed ElBanna ◽  
Tarek Salah Eldin
Keyword(s):  
Bond Strength ◽  
Failure Mode ◽  
Shear Bond Strength ◽  
Failure Modes ◽  
Study Groups ◽  
Mode Analysis ◽  
Specimen Dimension ◽  
Failure Mode Analysis ◽  
Loading Devices ◽  
Systems Failure

Shear bond strength (SBS) testing is a commonly used method for evaluating different dental adhesive systems. Failure mode analysis provides valuable information for better interpretation of bond strength results. The aim of this study was to evaluate the influence of specimen dimension and loading technique on shear bond strength and failure mode results. Eighty macro and micro flowable composite cylindrical specimens of 1.8 and 0.8 mm diameter, respectively, and 1.5 mm length were bonded to dentinal substrate. Four study groups were created (n = 20): Macroshear wireloop, Gp1; Microshear wireloop, Gp2; Macroshear chisel, Gp3; and Microshear chisel, Gp4. They were tested for SBS using chisel and wireloop loading devices followed by failure mode analysis using digital microscopy and SEM. Two- and one-way ANOVA were used to compare stress at failure values of different groups while the Kruskal–Wallis test was used to compare between failure modes of the tested groups. Gp4 recorded the highest mean stress at failure 54.1 ± 14.1 MPa, and the highest percentage of adhesive failure in relation to the other groups. Specimen dimension and loading technique are important parameters influencing the results of shear bond strength. Micro-sized specimens and chisel loading are recommended for shear testing.

Fuzzy risk assessment for electro-optical target tracker

2016 ◽  
Vol 33 (6) ◽  
pp. 830-851 ◽  
Author(s):  
Soumen Kumar Roy ◽  
A K Sarkar ◽  
Biswajit Mahanty
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Linear Equations ◽  
Mode Analysis ◽  
Failure Behavior ◽  
Membership Functions ◽  
Design And Development ◽  
Effect Analysis ◽  
Content Type ◽  
Criticality Analysis

Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.

Dominant failure mode analysis using representative samples obtained by multiple response surfaces method

2020 ◽  
Vol 59 ◽  
pp. 103005 ◽  
Author(s):  
Youbao Jiang ◽  
Linjie Zhao ◽  
Michael Beer ◽  
Lei Wang ◽  
Jianren Zhang
Keyword(s):  
Failure Mode ◽  
Response Surfaces ◽  
Mode Analysis ◽  
Multiple Response ◽  
Failure Mode Analysis ◽  
Representative Samples
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