scholarly journals AFAM-PEC: Adaptive Failure Avoidance Tracking Mechanism Using Prediction-Estimation Collaboration

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 149077-149092 ◽  
Author(s):  
Baber Khan ◽  
Ahmad Ali ◽  
Abdul Jalil ◽  
Khizer Mehmood ◽  
Maria Murad ◽  
...  
Keyword(s):  
Failure Avoidance

Fault Tolerance Model for Efficient Actor Recovery Paradigm in WSAN

2021 ◽  
pp. 486-503
Author(s):  
Reem Khalid Mahjoub ◽  
Khaled Elleithy
Keyword(s):  
Fault Tolerance ◽  
Network Performance ◽  
Wireless Sensor ◽  
Network Integration ◽  
Node Failure ◽  
Failure Avoidance ◽  
Tolerance Model ◽  
Actor Networks ◽  
Selection Algorithms ◽  
Critical Node Detection

Wireless sensor and actor networks (WSAN) is an area where sensors and actors collaborate to sense, handle and perform tasks in real-time. Thus, reliability is an important factor. Due to the natural of WSAN, actor nodes are open to failure. Failure of actor nodes degrades the network performance and may lead to network disjoint. Thus, fault tolerance techniques should be applied to insure the efficiency of the network. In an earlier work, the authors proposed an efficient actor recovery paradigm (EAR) for WSAN which handles the critical actor node failure and recovery while maintaining QoS. EAR is supported with node monitoring and critical node detection (NMCND), network integration and message forwarding (NIMF), priority-based routing for node failure avoidance (PRNFA) and backup selection algorithms. In this article, the authors extend the work by adding a fault tolerance mathematical model. By evaluating the model, EAR shows to manage fault tolerance in deferent levels. To evaluate the effectiveness, the EAR fault tolerance is evaluated by simulation using OMNET++ Simulation. In addition, EAR reliability is measured and compared with RNF, DPCRA, ACR, and ACRA.

Mechanical Engineering Issues and Electronic Equipment Reliability: Incurred Costs Without Compensating Benefits

1991 ◽  
Vol 113 (1) ◽  
pp. 1-7 ◽  
Author(s):  
C. T. Leonard
Keyword(s):  
Electronic Equipment ◽  
Major Influence ◽  
Reliability Models ◽  
Temperature Reduction ◽  
Equipment Reliability ◽  
Electronics Reliability ◽  
Significant Temperature ◽  
Failure Avoidance ◽  
Electronic Parts ◽  
The Cost

Temperature is widely viewed as a major influence on failures of electronic equipment. Failure Prediction Methodology (FPM), such as MIL-HDBK-217 is an often quoted reference describing the temperature influence, often depicted as being exponential in effect, affecting wide classes of electronic component parts. The FPM concept of a constant failure rate that is accelerated by various environmental influences is widely applied beyond its validity. Misapplications of the reliability models in current use may cause failure avoidance efforts such as temperature reduction and parts quality selections not to yield anticipated overall results. The cost and complexity effects can be significant: temperature reduction, for example, can result in expensive system implementations in some cases whose costs and complexities may exceed the anticipated benefits in reliability. Due to industry wide continuing improvements in component quality over the years, the continuing quest for electronics reliability should change emphasis from attention to electronic parts to activities that address assembly and processes. This paper discusses the ways the temperature ingredient of reliability and similar concepts may be currently applied, with examples to illustrate disparities between anticipations and realizations. Alternate approaches are offered and their possible implementations are discussed.

SIMULATION AND REALITY: THE BIG PICTURE

2010 ◽  
Vol 01 (01) ◽  
pp. 1-25 ◽  
Author(s):  
TUNCER ÖREN
Keyword(s):  
Quality Assurance ◽  
Modeling And Simulation ◽  
Knowledge Processing ◽  
Validation And Verification ◽  
The Core ◽  
Types Of Knowledge ◽  
Integrative View ◽  
Big Picture ◽  
Failure Avoidance

The discipline of modeling and simulation (M&S) is advancing, maturing, and is being used in more and more challenging areas. Appreciation of its comprehensive and integrative view, i.e., its big picture would be very useful for its continued and systematic growth and successful applications. The article starts with a rationale for the needs to see the big picture of M&S and ways to see the big picture. Since M&S is closely related with reality and its representations i.e., models, reality/model dichotomy is clarified. As the core of the article, detailed perceptions of M&S from different perspectives such as: purpose of use, problem to be solved, connectivity of operations, and types of knowledge processing are clarified. Then, three aspects of ways to increase the trustworthiness of M&S are outlined (i.e., validation and verification (V&V), quality assurance (QA), and failure avoidance (FA). The article ends with a discussion of M&S from the perspective of professionalism. Some recommendations or challenges are still open for implementations for the success of M&S.

Relationships of Fear-of-Failure and Need Achievement Motivation to a Confirming-Interval Measure of Aspirational Levels

1975 ◽  
Vol 36 (3) ◽  
pp. 967-976 ◽  
Author(s):  
Richard C. Teevan ◽  
Barry D. Smith
Keyword(s):  
Achievement Motivation ◽  
Fear Of Failure ◽  
Avoidance Motivation ◽  
Interval Approach ◽  
The Mean ◽  
Failure Avoidance ◽  
Standardized Measure ◽  
Positive Correlations ◽  
And Performance ◽  
Level Of Aspiration

Prior studies have shown that individuals characterized as motivated by a fear of failure tend to set levels of aspiration defensively. However, it has been hypothesized that aspirational statements can be bener understood as representing a range of aspirations. The region between lower and upper boundaries is termed a confirming interval. Ss in the present study responded to a standardized measure of fear-of-failure motivation and a scrambled word measure of confirming-interval dimensions. Male Ss ( n = 44) showed predicted positive correlations between width of confirming interval and fear-of-failure motivation and between fear of failure and the mean discrepancy between confirming-interval boundaries and performance scores. Females ( n = 46) yielded opposite results. Results supported the value of the idea of a confirming-interval approach to level of aspiration in the study of failure-avoidance motivation.

Sign in / Sign up

Export Citation Format

Share Document